Algorithm | Bioinformatics | Deep Learning | News | NGS | Paper Summary | Sequencing | Tools | Trending

Meet Mapinsights: A New Toolkit for Impeccable Quality Control of High-Throughput Sequencing Data
ByNeegar Naushaba Iqbal July 14, 2023November 24, 2023

High-Throughput Sequencing (HTS) has drastically transformed the world of genomics by allowing rapid and accurate detection of genomic variations at the level of individual base pairs. However, the presence of technical artifacts (hidden non-random error patterns affecting the accuracy of variant identification) degrades HTS data quality. Scientists from the National Institute of Biomedical Genomics, India,…

Read More Meet Mapinsights: A New Toolkit for Impeccable Quality Control of High-Throughput Sequencing Data
AI | Bioinformatics | Cancer Research | Drug Discovery | Machine Learning | News | Paper Summary | Precision Medicine | Trending

Predicting Immunotherapy Response: Construction and Validation of a Machine Learning-Based Gene Expression Classifier for Primary Triple-Negative Breast Cancer
ByAditi Sarkar July 13, 2023July 13, 2023

A recent publication in Nature’s Communications Medicine has presented the TNBC (Triple Negative Breast Cancer) ICI (Immune Checkpoint Inhibitors) response predictive classifier (TNBC-ICI) integrating gene expression profiles of TNBC specimens and artificial intelligence, which has demonstrated a significant performance in identifying TNBC patients who would potentially achieve pCR (Pathological Complete Response) to the chemotherapy treatment…

Read More Predicting Immunotherapy Response: Construction and Validation of a Machine Learning-Based Gene Expression Classifier for Primary Triple-Negative Breast Cancer
AI | Bioinformatics | Genomics | News | OMICS | Paper Summary | Tools | Trending

HyenaDNA Powers Long-range Genomic Sequence Modeling at Single Nucleotide Resolution
ByNeegar Naushaba Iqbal July 12, 2023January 28, 2024

Scientists from Stanford and Harvard Universities have developed a groundbreaking genomic foundation model called HyenaDNA, which promises to transform the analysis of DNA sequences. The model addresses the limitations of previous approaches by offering the handling of long sequences (up to 1 million tokens), single nucleotide resolution, higher quality results, and reduced time complexity compared…

Read More HyenaDNA Powers Long-range Genomic Sequence Modeling at Single Nucleotide Resolution
AI | Big Data | Bioinformatics | Drug Discovery | Machine Learning | Neural Network | News | Paper Summary | Trending

MIT’s Data-Efficient Molecular Property Predictor: Leveraging Hierarchical Grammar-Induced Geometry
ByAditi Sarkar July 11, 2023October 22, 2026

Researchers at the MIT-IBM Watson AI Lab have achieved a significant breakthrough in the field of molecular property prediction. By introducing the Grammar-Induced Geometry Framework, the researchers address the challenge of curating labeled data for developing accurate deep-learning models. This framework leverages a learnable hierarchical molecular grammar to capture structure-level similarity, paving the way for…

Read More MIT’s Data-Efficient Molecular Property Predictor: Leveraging Hierarchical Grammar-Induced Geometry
Big Data | Bioinformatics | News | NGS | Paper Summary | RNA-Seq | Trending

Decoding the Epigenomic Puzzle: Evaluating Computational Pipelines for Single-cell Histone Modification Data
ByNeegar Naushaba Iqbal July 10, 2023July 10, 2023

Single-cell histone post-translational modification (scHPTM) assays, such as scCUT&Tag or scChIP-seq, have emerged as powerful tools for mapping epigenomic landscapes within complex tissues. These assays enable the exploration of various histone modifications at the single-cell level, holding the key to unlocking crucial mechanisms in development and disease. However, challenges still need to be overcome in…

Read More Decoding the Epigenomic Puzzle: Evaluating Computational Pipelines for Single-cell Histone Modification Data
AI | Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Tools | Trending

Meet ColabDock: A New Framework Integrating AlphaFold and Experimental Restraints for Accurate Protein-Protein Docking
ByAditi Sarkar July 8, 2023August 6, 2023

Scientists from Peking University, China, presented a new protein-protein docking framework, ColabDock, that incorporates experimental restraints into protein complex structure modeling with an aim to circumvent incongruity between experiment and prediction through integrating AlphaFold2 (AF2) energy function and restraints posteriori, outcompetes previous FFT (Fast Fourier Transform)-based protein-protein docking algorithms, and has the potential to generate…

Read More Meet ColabDock: A New Framework Integrating AlphaFold and Experimental Restraints for Accurate Protein-Protein Docking
Bioinformatics | Genomics | News | OMICS | Paper Summary | Trending

Multiscale Pangenome Analysis: A New Tool “PGR-TK” Improves Representation of Repetitive and Clinically Relevant Genes
ByAditi Sarkar July 6, 2023July 6, 2023

An article published recently in Nature Journal introduced the PanGenome Research Tool Kit (PGR-TK) with the purpose of facilitating analysis of structural and haplotype variation in the PanGenome and presented a new prospect of exploring complex genomic regions that are related to medical conditions but were challenging to inspect before. The demonstration of visualization and…

Read More Multiscale Pangenome Analysis: A New Tool “PGR-TK” Improves Representation of Repetitive and Clinically Relevant Genes
AI | Bioinformatics | Deep Learning | Drug Discovery | News | Paper Summary | Tools | Trending

GPT-powered Drug Discovery: Meet DrugGPT, the Game-Changing “ChatGPT” for Ligand Design
ByNeegar Naushaba Iqbal July 5, 2023October 22, 2026

ChatGPT has become a rage all over the globe ever since its launch. From brainstorming business ideas to explaining complex code in the most clear-cut manner, it has been of tremendous help to people from all walks of life. And now, researchers from Xi’an Jiaotong University have developed a revolutionary ChatGPT counterpart suited specifically for drug…

Read More GPT-powered Drug Discovery: Meet DrugGPT, the Game-Changing “ChatGPT” for Ligand Design
AI | Bioinformatics | News | Paper Summary | Proteomics | Structural Biology | Trending | Virus

A Synergistic Approach: AlphaFold and Symmetrical Docking for Precise Protein Assembly Structure Prediction
ByAditi Sarkar July 4, 2023July 4, 2023

Mads Jeppesen and Ingemar André from Lund University, Sweden, have demonstrated a protein complex assembly structure prediction pipeline conjugating Alphafold and symmetrical docking method. The approach makes structural apprehension of large multi-chain assembly of nature’s most complex symmetrical systems, the cubic symmetric group including tetrahedra, octahedra, and icosahedra, feasible at the atomic level. The proposed…

Read More A Synergistic Approach: AlphaFold and Symmetrical Docking for Precise Protein Assembly Structure Prediction
AI | Bioinformatics | Disease Diagnosis | Health | Machine Learning | Medical Informatics | News | Paper Summary | Trending

Predicting Heart Attack Risk Faster and More Accurately than Current Methods: The Role of Machine Learning in ECG Diagnosis
ByNeegar Naushaba Iqbal July 3, 2023July 3, 2023

Occlusion myocardial infarction (OMI) impacts a large number of people, yet fewer get diagnosed. This is because their ECG fails to show an elevation in the ST region. An elevated ST region indicates the presence of OMI. Such patients can receive great help from immediate reperfusion therapy, but the problem is that no tool can accurately…

Read More Predicting Heart Attack Risk Faster and More Accurately than Current Methods: The Role of Machine Learning in ECG Diagnosis
Bioinformatics | Biotech | Cancer | Cell | Education | Health | News | Paper Summary | Trending

Guardians of Immunity: How T Cells Fight Diseases and Keep Us Healthy
ByNeegar Naushaba Iqbal July 2, 2023July 2, 2023

T cells are a category of immune cells. They play an important role in maintaining normal bodily functions and battling diseases. When faced with antigens, naive T cells undergo specific changes and develop into different types of cells with distinct properties, abilities, and functions. This process is controlled by genetic as well as molecular factors….

Read More Guardians of Immunity: How T Cells Fight Diseases and Keep Us Healthy
AI | Bioinformatics | News | Paper Summary | Structural Biology | Trending

Innovating Molecular Simulations: Unleashing the Power of Artificial Intelligence for Revolutionary Discoveries
ByAditi Sarkar July 1, 2023July 1, 2023

In a recently published paper by Peking University, China, researchers have outlined an analogy between the advancement of Artificial Intelligence (AI) technologies and the possibility of progressing Molecular Simulation (MS) techniques, which greatly aid scientists across diverse fields from physical sciences to life sciences. Moreover, the study articulates multiple aspects regarding the coherence of AI…

Read More Innovating Molecular Simulations: Unleashing the Power of Artificial Intelligence for Revolutionary Discoveries
AI | Bioinformatics | Disease Diagnosis | Health | Machine Learning | News | Paper Summary | Trending

Predicting Childhood ADHD Symptoms: The Promising Role of Neurocognitive Assessments and Machine Learning
ByAditi Sarkar June 30, 2023June 30, 2023

A recent paper published in the Nature Journal has outlined a machine learning approach that predicts childhood attention-deficit/hyperactivity disorder (ADHD) symptoms by deploying information about neurocognition, impulsivity, screen time, family & social contexts, and other relevant factors. The futuristic study executed by researchers from the University of Michigan and Emory University, USA, provides a significant…

Read More Predicting Childhood ADHD Symptoms: The Promising Role of Neurocognitive Assessments and Machine Learning
AI | Bioinformatics | Cancer | Deep Learning | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

Deep Encoder-Decoder Network: A Tool for Fragment Linker Prediction in PROTACs Drug Design
ByNeegar Naushaba Iqbal June 28, 2023October 22, 2026

PROTACs (PROteolysis TArgeting Chimeras) are small molecules capable of degrading target proteins. They have wide applications in designing drugs with therapeutic effects, especially in the case of cancer. But, conventional drug design is a complex and tedious process involving multiple iterations to obtain optimized results. Hence, scientists from AnHorn Medicines Co., Ltd., Taiwan, have proposed…

Read More Deep Encoder-Decoder Network: A Tool for Fragment Linker Prediction in PROTACs Drug Design
AI | Bioinformatics | Health | Machine Learning | News | Paper Summary | Tools | Trending

Transforming Healthcare: Empowering Clinicians with AutoPrognosis 2.0’s Democratized Machine Learning Models
ByAditi Sarkar June 27, 2023June 27, 2023

A recent paper authored by researchers from the University of California, USA, and the University of Cambridge, UK, introduced an open-source Machine Learning framework, Autoprognosis 2.0, to encounter the technical and practical challenges that are obstructing the large-scale adoption of Machine Learning (ML) models in clinical settings and to empower non-ML expert medical professional, facilitating…

Read More Transforming Healthcare: Empowering Clinicians with AutoPrognosis 2.0’s Democratized Machine Learning Models
Agriculture | Bioinformatics | Education | News | Sequencing | Trending

Uncovering the Genetic Blueprint of Cotton: Scientists Sequence the Cotton Genome
ByDr. Tamanna Anwar June 26, 2023June 26, 2023

Cotton, the primary source of natural fiber worldwide, has played a significant role in the textile industry. While several cotton species exist, only four are suitable for textile production. DePaul University computer scientists employed a bioinformatics approach to reconstruct the genome of a significant cotton species, specifically the African domesticated Gossypium herbaceum cultivar Wagad. This breakthrough discovery…

Read More Uncovering the Genetic Blueprint of Cotton: Scientists Sequence the Cotton Genome
AI | Bioinformatics | Machine Learning | News | Paper Summary | Trending

Meet BioAutoMATED: Empowering Life Scientists with Automated Machine Learning for Analyzing and Designing Biological Sequences
ByNeegar Naushaba Iqbal June 25, 2023December 25, 2023

BioAutoMATED, a novel, automated machine-learning tool, has eliminated the biggest barrier preventing life scientists from effectively utilizing machine learning (ML) in the analysis and design of biological sequences. This platform, developed by a group of scientists from Harvard University and MIT, brings together multiple automated machine learning (Auto ML) techniques into a unified framework, making…

Read More Meet BioAutoMATED: Empowering Life Scientists with Automated Machine Learning for Analyzing and Designing Biological Sequences
AI | Bioinformatics | COVID-19 | Covid-19 News | Drug Discovery | Machine Learning | News | Proteomics | SARS-CoV-2 | Structural Biology | Trending

AI-Powered Protein-Protein Interaction Drug Discovery Pipeline Yields a Promising SARS-CoV-2 Inhibitor
ByAditi Sarkar June 24, 2023June 24, 2023

The multi-adaptive Support Vector Machine Learning Algorithm (maSVM) can improve comparisons between binary Protein-Protein interaction datasets gathered in different laboratories and can be utilized to confidently prioritize potential targets for Protein-Protein Interaction (PPI) based drug discovery. The researchers first showed that the automatic classification of large quantitative interaction datasets could be performed with high confidence….

Read More AI-Powered Protein-Protein Interaction Drug Discovery Pipeline Yields a Promising SARS-CoV-2 Inhibitor
Bioinformatics | Cell | Genomics | News | NGS | Sequencing | Trending

Discovering Genome-Wide Chromatin Contacts: Multiplex-GAM vs. Hi-C Showdown!
ByDr. Tamanna Anwar June 22, 2023June 22, 2023

Chromatin conformation capture techniques have revolutionized our understanding of genome organization and its impact on gene regulation. Hi-C, the gold standard method for investigating chromatin contacts, has shed light on the three-dimensional organization of the genome. Nonetheless, new developments in genomic technology have opened the door for new strategies that offer a more thorough understanding…

Read More Discovering Genome-Wide Chromatin Contacts: Multiplex-GAM vs. Hi-C Showdown!
Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Precision Medicine | Trending

Drug-Microbiome Interactions: Machine Learning Model Predicts How Drugs Affect Gut Microbiome
ByAditi Sarkar June 21, 2023June 21, 2023

In a recent Nature publication by Algavi and Elhanan, faculties from Tel Aviv University, Israel, have tackled the challenge of fully understanding the adverse effects of drugs on the gut microbiome. By combining machine learning with the chemical characteristics of drugs and the genetic and metabolic pathways of bacteria, they developed a powerful approach to…

Read More Drug-Microbiome Interactions: Machine Learning Model Predicts How Drugs Affect Gut Microbiome
Bioinformatics | Cancer Research | Disease Diagnosis | Genomics | News | Proteomics | Trending

Exploring Molecular Alterations in Cancer with cProSite: A Web-based Tool for Genomics, Proteomics, and Phosphoproteomics Data Analysis
ByDr. Tamanna Anwar June 19, 2023October 22, 2026

Large-scale proteome and genomic investigations play a crucial role in understanding the molecular causes of cancer. The National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) has developed an invaluable resource of data, cProSite (Cancer Proteogenomic Data Analysis Site), a user-friendly website designed for biologists and clinicians, offering online analysis of genomics, proteomics, and phosphoproteomics using CPTAC…

Read More Exploring Molecular Alterations in Cancer with cProSite: A Web-based Tool for Genomics, Proteomics, and Phosphoproteomics Data Analysis
Bioinformatics | Health | Infectious Diseases | News | Paper Summary | Trending

Unveiling the Spatial Dynamics of Malaria Transmission: A Patch-based Modeling Framework
ByAditi Sarkar June 18, 2023June 19, 2023

The researchers managed the challenge of quantification, simulation, and weight appointment to counterfactuals and diversely heterogeneous sets of factors accountable for the dynamism of malaria transmission to anticipate robust circumstance-specific policy advice for malaria control. The modular framework aspires to extend the Ross-Macdonald model and previous mathematical models for mosquito-borne pathogens by orienting overwhelming computational,…

Read More Unveiling the Spatial Dynamics of Malaria Transmission: A Patch-based Modeling Framework
Bioinformatics | News | NGS | RNA-Seq | Tools | Transcriptomics | Trending

Unlocking New Insights in Alzheimer’s Disease: UC Irvine Neuroscientists Develop the ‘Meta-Cell’
ByDr. Tamanna Anwar June 17, 2023June 17, 2023

Transcriptomics has revolutionized our understanding of gene expression and its impact on biological processes. High-dimensional transcriptomics data provides researchers with much information, but analyzing such datasets can be challenging. However, an innovative method called hdWGCNA (high-dimensional weighted gene co-expression network analysis), developed by scientists from the University of California, Irvine, has emerged as a powerful…

Read More Unlocking New Insights in Alzheimer’s Disease: UC Irvine Neuroscientists Develop the ‘Meta-Cell’
Bioinformatics | Health | Machine Learning | News | Paper Summary | Transcriptomics | Trending

Mapping the Cellular Landscape of the Lung: A Comprehensive Human Lung Cell Atlas in Health and Disease
ByAditi Sarkar June 16, 2023June 16, 2023

The Human Lung Cell Atlas (HLCA) represents comprehensive single-cell transcriptomics of the human respiratory system, which aims to resolve the limitations in previous atlases. By integrating data from 486 donors and 49 datasets, encompassing 2.4 million cells and donor metadata, the HLCA seeks to capture individualistic variations, overcome limited samples, and mitigate technical biases. Its…

Read More Mapping the Cellular Landscape of the Lung: A Comprehensive Human Lung Cell Atlas in Health and Disease
AI | Bioinformatics | Cell | Deep Learning | News | Tools | Trending

UCSC Scientists Introduce “DeepSea”: A Novel Deep Learning-based Software for Cell Detection and Tracking
ByDr. Tamanna Anwar June 15, 2023June 15, 2023

The field of cell biology is undergoing rapid advancement, necessitating a comprehensive comprehension of the intricate dynamics and heterogeneity exhibited by individual cells in order to unravel complex cellular processes. Time-lapse microscopy has emerged as an influential methodology, enabling the investigation of cellular behavior at the single-cell scale with exceptional temporal resolution. Nonetheless, the analysis…

Read More UCSC Scientists Introduce “DeepSea”: A Novel Deep Learning-based Software for Cell Detection and Tracking
AI | Antibiotic Resistance | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending

Drug Off-target Discovery: Integrating Machine Learning, Metabolomics, and Structural Analysis in a Workflow
ByAditi Sarkar June 14, 2023October 22, 2026

Drugs often impact intracellular off-targets, i.e., targets that are unintended. Identifying drug off-targets is extremely important for understanding the mechanism of drug action and designing effective drugs. In this context, comprehending the underlying mechanisms of antibiotics inside bacterial cells is highly required for developing antibiotics that will encounter emerging ‘drug resistance.’ A detailed workflow for…

Read More Drug Off-target Discovery: Integrating Machine Learning, Metabolomics, and Structural Analysis in a Workflow
AI | Bioinformatics | Deep Learning | News | Proteomics | Structural Biology | Trending

Enhancing Protein Complex Structure Modeling: Deep Learning Meets Crosslinking Mass Spectrometry
ByDr. Tamanna Anwar June 13, 2023October 22, 2026

Protein complex structures form the foundation for understanding the complexities of molecular biology. While deep learning-based methods have significantly enhanced the prediction of single protein structures, predicting the structures of protein complexes remains a challenge. This challenge arises from the limited availability of structural and evolutionary information for protein complexes. However, recent breakthroughs have incorporated…

Read More Enhancing Protein Complex Structure Modeling: Deep Learning Meets Crosslinking Mass Spectrometry
AI | Bioinformatics | Deep Learning | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

MIT’s Language Model “ConPLex” Applied to Protein-Drug Interactions Speeds up Screening of Large Compound Libraries
ByAditi Sarkar June 12, 2023October 22, 2026

Scientists at the Massachusetts Institute of Technology and Tufts University introduced a deep-learning model named ConPLex that executes sequence-based predictions of Drug Target Interaction (DTI) with high accuracy, specificity, adaptivity, and alacrity, outperforming other state-of-the-art approaches and unlocks prospects in accelerating drug discovery process by making in-silico screening strategies more viable at massive scale. Therapeutic…

Read More MIT’s Language Model “ConPLex” Applied to Protein-Drug Interactions Speeds up Screening of Large Compound Libraries
AI | Bioinformatics | Cloud Computing | Computational Models | Deep Learning | News | Paper Summary | Proteomics | Trending

Serverless Deep Learning Models for Peptide Property Prediction: Achieving State-of-the-Art Results without Cloud Dependencies
ByAditi Sarkar June 10, 2023October 22, 2026

Researchers at the Chemical Engineering Department of the University of Rochester, New York, introduce three deep learning sequence-based models for peptide properties prediction implementing a Recurrent Neural Network to compute hemolysis, solubility & nonfouling features of peptides from their sequences in a serverless architecture intending for better accessibility and to endorse open science. The sequence-based…

Read More Serverless Deep Learning Models for Peptide Property Prediction: Achieving State-of-the-Art Results without Cloud Dependencies
AI | Bioinformatics | Chemoinformatics | Deep Learning | Drug Discovery | News | Structural Biology | Tools | Trending

Advancing Drug Discovery with DrugEx: An Open-source Software Package for Exploring the Depths of Drug-like Chemical Space using Deep Learning Models and Tools
ByDr. Tamanna Anwar June 9, 2023October 22, 2026

The discovery of novel molecules with desired properties is a long-standing challenge in medicinal chemistry. On the other hand, de novo drug design tools have been developed as a result of recent developments in machine learning. In spite of the increasing popularity of these technologies, user-friendly and adaptable resources are not available. Scientists from Leiden…

Read More Advancing Drug Discovery with DrugEx: An Open-source Software Package for Exploring the Depths of Drug-like Chemical Space using Deep Learning Models and Tools
Bioinformatics | Drug Discovery | Metabolomics | News | OMICS | Paper Summary | Transcriptomics | Trending

Integrating Transcriptomics, Metabolomics, and In-silico Drug Predictions to Analyze Burn-induced Liver Damage: A Step Towards Curing Burn-inflicted Trauma
ByAditi Sarkar June 8, 2023October 22, 2026

Burn injuries often incite substantial morbidity and lethality aftermath. Severe burn injuries due to hot liquids or solids and fire induce pathophysiological and inflammatory responses, metabolic alterations, and distributive shock in distant deeper organs that can extensively persist up to several years after the initial burn insult and are extremely unmanageable, leading towards multi-organ damage….

Read More Integrating Transcriptomics, Metabolomics, and In-silico Drug Predictions to Analyze Burn-induced Liver Damage: A Step Towards Curing Burn-inflicted Trauma
AI | Bioinformatics | Deep Learning | Disease Diagnosis | Health | Neural Network | News | Trending

Mount Sinai’s Vision-based Transformer Model “HeartBEiT” Interprets Electrocardiograms as Language
ByDr. Tamanna Anwar June 7, 2023June 7, 2023

Mount Sinai researchers have revealed a groundbreaking artificial intelligence (AI) model for electrocardiogram (ECG) analysis. This pioneering approach allows ECGs to be interpreted as language, leading to improved accuracy and effectiveness in diagnosing cardiac conditions, especially in situations with limited training data. The researchers introduced their deep learning model, HeartBEiT, which not only outperformed traditional…

Read More Mount Sinai’s Vision-based Transformer Model “HeartBEiT” Interprets Electrocardiograms as Language
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Proteomics | Tools | Trending

Advancing Protein Subcellular and Suborganellar Localization Prediction and Visualization with MULocDeep
ByAditi Sarkar June 6, 2023October 22, 2026

Researchers at the University of Missouri upgraded the MULocDeep web application by integrating animal, fungi, and plant species-specific models that meet competitive performance at the subcellular level against contemporary state-of-the-art methods and thus hold promising prospects in speeding up research in various domains, including drug development. Harnessing the power of Artificial Intelligence MULocDeep covers comprehensive…

Read More Advancing Protein Subcellular and Suborganellar Localization Prediction and Visualization with MULocDeep
Bioinformatics | Machine Learning | Metagenomics | News | Paper Summary | Proteomics | Tools | Trending

Meet Snekmer: A Powerful Machine Learning Based Protein Annotation Tool Utilizing Peptide Fingerprinting
ByDr. Tamanna Anwar June 5, 2023June 5, 2023

Snekmer, an innovative software developed to better understand protein function in microbes, emerged from the collaborative efforts of researchers from the Pacific Northwest National Laboratory, Baylor University, and Oregon Health & Science University. This cutting-edge tool harnesses the power of short protein sequences, known as kmers, to generate protein family models through machine learning techniques….

Read More Meet Snekmer: A Powerful Machine Learning Based Protein Annotation Tool Utilizing Peptide Fingerprinting
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Tools | Trending

AI-Driven Retrosynthesis Prediction with G²Retro: Prospects in Drug Development
ByDr. Tamanna Anwar June 4, 2023October 22, 2026

Recent research has demonstrated that generative AI has the ability to greatly speed up drug development in the pharmaceutical industry. Currently, it can take several years for pharmaceutical companies to create drugs capable of addressing and potentially eradicating human diseases. To address this, scientists from The Ohio State University, USA, developed a generative framework G2Retro…

Read More AI-Driven Retrosynthesis Prediction with G2Retro: Prospects in Drug Development
Bioinformatics | Genomics | News | Trending

Accelerating Genomic Workflows: Harnessing the Power of NVIDIA Parabricks
ByDr. Tamanna Anwar June 3, 2023June 3, 2023

As the integration of genome sequencing in scientific research, government policy, and personalized medicine continues to grow, the primary challenge for researchers has shifted from generating raw data to analyzing vast datasets. It can take a long time and require a lot of processing to examine large amounts of genomic sequence data. However, the use…

Read More Accelerating Genomic Workflows: Harnessing the Power of NVIDIA Parabricks
Bioinformatics | Drug Discovery | News | Paper Summary | Proteomics | Trending

Exploring Protein Modifications in Metabolic Diseases: Molecular Mechanisms and Therapeutic Strategies
ByAditi Sarkar June 2, 2023October 22, 2026

Comprehensive introspection of cellular and molecular level aberrations that prompted the worldwide prevalence of life-threatening Non Communicable Diseases like Diabetes, Obesity, Hypertension, Nonalcoholic Fatty Liver Disease (NAFLD), CDV (Cardiovascular diseases), etc. is an acute need towards their prohibition, effective clinical treatment, control, and remedy. Decoding the intricate details, cascade, and consequences of protein post translational…

Read More Exploring Protein Modifications in Metabolic Diseases: Molecular Mechanisms and Therapeutic Strategies
Bioinformatics | Deep Learning | News | Paper Summary | Trending

Meet MDASAE: A Novel Microbe-Drug Association Prediction Model
ByAditi Sarkar June 1, 2023June 1, 2023

Scientists from the Hengyang Normal University, China, designed a stacked autoencoder (SAE) with a multi-head attention mechanism-based microbe drug association prediction model named MDASAE. Intensive comparison experiments and case studies based on public databases under 5-fold cross-validation and 10-fold cross-validation, respectively, proved the superiority of MDASAE to existing other calculation methods, indicating its prospects in…

Read More Meet MDASAE: A Novel Microbe-Drug Association Prediction Model
Bioinformatics | News | Structural Biology | Trending

Repurposing ‘Failed’ Antibiotics: A Promising Approach for Herbicide Development
ByDr. Tamanna Anwar May 31, 2023June 1, 2023

Resilient weeds, impervious to herbicides, present a grave danger to both the environment and the agricultural sector. The pressing demand for fresh herbicides, armed with inventive modes of operation, arises to tackle this escalating concern. In a pioneering endeavor, scientists from the University of Adelaide, Australia, adopted an innovative approach to converting a previously ineffective…

Read More Repurposing ‘Failed’ Antibiotics: A Promising Approach for Herbicide Development
AI | Bioinformatics | Deep Learning | Drug Discovery | Genomics | News | Paper Summary | Trending

Transforming Natural Product Identification through Deep Self-Supervised Learning Language Models
ByAditi Sarkar May 30, 2023October 22, 2026

Scientists from the Microsoft Research Lab, Cambridge, have designed a Self-Supervised Neural Network Masked Language Model named BiGCARP to accelerate the identification and classification of Biosynthetic Genome Clusters (BGC), which are responsible for generating Natural Products essentials for many industries. This is the first evidence of using Pfam domains as tokens in the Language model….

Read More Transforming Natural Product Identification through Deep Self-Supervised Learning Language Models
Bioinformatics | Genomics | News | OMICS | Tools | Trending

Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite
ByDr. Tamanna Anwar May 29, 2023June 1, 2023

Genomic analysis plays a vital role in various areas, such as disease detection, drug development, and genetic disease identification. With the exponential growth of genomic databases and the need for efficient data processing, GPUs have emerged as powerful tools for accelerating genomic analysis. In this article, we examine the use of GPUs for genomic research…

Read More Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite
AI | Bioinformatics | Drug Discovery | Infectious Diseases | Machine Learning | News | Trending

Harnessing Machine Learning to Expedite the Search for Plants with Antimalarial Properties
ByDr. Tamanna Anwar May 28, 2023October 22, 2026

Malaria, a parasitic disease transmitted by mosquitoes, poses a grave global health menace. With countless annual cases and the escalating defiance of traditional antimalarial drugs, there is an urgent need to expedite the pursuit of innovative treatments. In a recent publication in Frontiers on May 25, 2023, scientists from the Royal Botanic Gardens, Kew, and…

Read More Harnessing Machine Learning to Expedite the Search for Plants with Antimalarial Properties
AI | AMR Alert | Antibiotic Resistance | Bioinformatics | Drug Discovery | Machine Learning | News | Trending

AI-Driven Antibiotic Discovery: A Breakthrough in Combating Drug-Resistant Infections
ByDr. Tamanna Anwar May 27, 2023May 27, 2023

A groundbreaking study conducted by scientists from MIT and McMaster University has unveiled a revolutionary artificial intelligence-based antibiotic that effectively eliminates a specific strain of bacteria often associated with drug-resistant infections. If it receives approval for patient usage, the newly developed antibiotic has the potential to significantly contribute to the battle against Acinetobacter baumannii, a…

Read More AI-Driven Antibiotic Discovery: A Breakthrough in Combating Drug-Resistant Infections
Big Data | Bioinformatics | News | OMICS | Paper Summary | Systems Biology | Trending

Decoding the DNA Repair Network: Insights from a Novel Multi-scale DNA Damage Response Assemblies Map
ByBanhita Maitra May 25, 2023May 26, 2023

A team of UCSF, UCSD, and Brown University scientists has produced a multi-scale map of protein assemblies pertaining to damage response. The DNA Damage Response (DDR) makes sure that DNA replication, as well as transcription, are error-free. Disruptions in DDR cause several diseases. It is quite challenging to determine the proteins managing the DDR as…

Read More Decoding the DNA Repair Network: Insights from a Novel Multi-scale DNA Damage Response Assemblies Map
AI | Bioinformatics | Drug Discovery | News | Structural Biology | Trending

AlphaFold’s Impact on Drug Discovery: A Closer Look at How Accurately It Predicts Drug Binding Modes
ByDr. Tamanna Anwar May 24, 2023May 26, 2023

In recent years, significant advancements in machine learning, particularly AlphaFold 2 (AF2), have revolutionized protein structure prediction. These breakthroughs have generated excitement in the field of drug discovery, as accurate protein structures are crucial for rational drug design. However, the translation of these advances into predicting ligand binding poses for drug candidates remains uncertain. This…

Read More AlphaFold’s Impact on Drug Discovery: A Closer Look at How Accurately It Predicts Drug Binding Modes
Big Data | Bioinformatics | Cancer Research | Drug Discovery | News | Paper Summary | Tools | Trending

Meet IRIS: The Innovative Computational Tool for Identifying De Novo Cancer Immunotherapy Targets from pre-mRNA Alternative Splicing
ByBanhita Maitra May 23, 2023December 21, 2023

Scientists from CHOP, Philadelphia, and UCLA have developed an integrated computational workflow to discover novel cancer immunotherapy targets from pre-mRNA alternative splicing (AS). The prevalence of alternate splicing across different cancers is wide, yet the vast repertoire of cancer immunotherapy targets remains unexplored. IRIS has been developed to identify AS-derived tumor antigens (TAs) for T…

Read More Meet IRIS: The Innovative Computational Tool for Identifying De Novo Cancer Immunotherapy Targets from pre-mRNA Alternative Splicing
Big Data | Bioinformatics | Data Science | Genomics | News | Paper Summary | Tools | Trending

Meet Genomics to Notebook (g2nb): A Comprehensive Notebook Solution to Tackle Challenges in Bioinformatics Analysis
ByDr. Tamanna Anwar May 22, 2023May 23, 2023

Genomics to Notebook (g2nb) is a new environment that combines the popular JupyterLab notebook system with well-established bioinformatics platforms to provide a seamless and accessible workflow for genomics analysis. While Jupyter Notebook and JupyterLab have become widely used in data science and bioinformatics, incorporating existing bioinformatics analysis platforms like Galaxy and GenePattern into the notebook…

Read More Meet Genomics to Notebook (g2nb): A Comprehensive Notebook Solution to Tackle Challenges in Bioinformatics Analysis
AI | Bioinformatics | Machine Learning | News | Trending

Unleashing the Potential of AI: Breakthroughs in Gene Activation Research and Unveiling Rare DNA Sequences
ByDr. Tamanna Anwar May 21, 2023May 21, 2023

Artificial intelligence nowadays dominates our news feeds, capturing public interest as ChatGPT and similar AI advancements take center stage. Biologists are actively investigating novel ways to use AI to utilize the abundance of chatbots to understand the complex operations of our genes. The Power of Artificial Intelligence in Gene Activation Research The University of California,…

Read More Unleashing the Potential of AI: Breakthroughs in Gene Activation Research and Unveiling Rare DNA Sequences
Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending

Simulation Tools Shape the Landscape of New Generation Gene Silencing Therapies
ByBanhita Maitra May 20, 2023October 22, 2026

A consortium of scientists from across the globe has undertaken a massive computational effort to produce predictive models on the effect of phosphorothioate (PS) stereochemistry on the structure and stability of the PS-DNA.RNA hybrid in the realm of gene silencing. Phosphorothioates have proven significant in oligonucleotide-based cancer and neurological disease therapeutics. PS-oligonucleotides have acquired a…

Read More Simulation Tools Shape the Landscape of New Generation Gene Silencing Therapies
Bioinformatics | Machine Learning | Medical Informatics | News | Trending

Enhancing Mortality Risk Prediction in Cardiac Surgery: The Impact of Machine Learning Models
ByDr. Tamanna Anwar May 19, 2023November 24, 2023

Mount Sinai researchers have developed a machine learning algorithm that allows healthcare facilities to forecast the chance of death for specific patients undergoing cardiac surgery. The Need for Accurate Mortality Risk Prediction Accurately assessing the mortality risk of patients undergoing cardiac surgery is of utmost importance. It will allow healthcare professionals to make informed decisions,…

Read More Enhancing Mortality Risk Prediction in Cardiac Surgery: The Impact of Machine Learning Models

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