AI

How artificial intelligence is changing biology and medicine, from protein structure prediction to AI-driven drug discovery and genomics.

AI | Bioinformatics | Database | Health | News | Precision Medicine | Trending

The Human Immunome Project: Mapping the Global Landscape of Immune Diversity to Enhance Drugs and Vaccines
ByAnchal Negi January 29, 2024October 22, 2026

In a landmark initiative, the Human Immunome Project (HIP) commenced at a summit in La Jolla, California, bringing immunology specialists together to address the greatest problems in healthcare and develop the largest immunology dataset in history. This ambitious endeavor seeks to revolutionize our comprehension of the human immune system, with the ultimate goal of enhancing…

Read More The Human Immunome Project: Mapping the Global Landscape of Immune Diversity to Enhance Drugs and Vaccines
AI | Bioinformatics | Computational Models | LLM | News | Paper Summary | Proteomics | Trending

Unveiling ProtHyena: A Fast and Efficient Protein Language Model for Analysis at Single Amino Acid Resolution
ByDeotima Chakraborty January 28, 2024October 22, 2026

The field of biological sequence analysis has lately benefited from the revolutionary changes brought about by the development of self-supervised deep language models for natural language processing tasks. Conventional models show significant effectiveness in a variety of applications. These models are mostly based on the Transformer and BERT architectures. However, the quadratic computational complexity O(L2)…

Read More Unveiling ProtHyena: A Fast and Efficient Protein Language Model for Analysis at Single Amino Acid Resolution
AI | Bioinformatics | Biomarker Discovery | Disease Diagnosis | Genomics | Machine Learning | News | OMICS | Tools | Trending

IntelliGenes Unveiled: A New Paradigm for AI-Driven Biomarker Discovery from Multi-genomic Data
ByDr. Tamanna Anwar January 27, 2024October 22, 2026

IntelliGenes is a new machine learning pipeline developed by researchers at The State University of New Jersey that integrates multi-genomics, clinical, and demographic data to discover biomarkers for disease prediction with high accuracy. It implements Intelligent Gene (I-Gene) scoring to assess the significance of biomarkers and create individual profiles to understand disease prognosis. IntelliGenes is…

Read More IntelliGenes Unveiled: A New Paradigm for AI-Driven Biomarker Discovery from Multi-genomic Data
AI | Bioinformatics | Deep Learning | Drug Discovery | LLM | News | Paper Summary | Structural Biology | Trending

Meet Lingo3DMol: A Pocket-based 3D Molecule Generation Method Leveraging Language Models and Geometric Deep Learning
ByAnchal Negi January 27, 2024October 22, 2026

The drug development process involves a winding trail across the enormous chemical wilderness, looking for compounds that interact ideally with their target proteins. Traditional approaches, while successful, frequently stumble in the dark, unable to capture the delicate 3D pattern of particles and their interactions. But do not worry; scientists from Beijing StoneWise Technology Co Ltd, …

Read More Meet Lingo3DMol: A Pocket-based 3D Molecule Generation Method Leveraging Language Models and Geometric Deep Learning
AI | Bioinformatics | Machine Learning | News | Paper Summary | Proteomics | Structural Biology | Tools | Trending

Unveiling the Future of Protein Design: RFdiffusion’s De Novo Revolution
ByDeotima Chakraborty January 26, 2024October 22, 2026

Protein design has seen significant progress, but a comprehensive deep-learning framework for protein design, including de novo binder design and higher-order symmetric architectures, remains unexplored. Diffusion models have shown success in image and language generative modeling but have limited success in protein modeling due to the complexity of protein backbone geometry and sequence-structure relationships. The…

Read More Unveiling the Future of Protein Design: RFdiffusion’s De Novo Revolution
AI | Bioinformatics | Cancer Research | News | Paper Summary | Structural Biology | Trending

Cleveland Clinic and IBM’s Blueprint for Discovering Novel Immunotherapy Targets Using Artificial Intelligence
ByAnchal Negi January 25, 2024October 22, 2026

Predicting the immunogenicity of peptide antigens attached to major histocompatibility complex (MHC) molecules is critical for developing new immunotherapies and better understanding human immune responses. While existing techniques rely on simple sequence representations, they neglect the complex chemical mechanisms that drive peptide recognition. Researchers from Cleveland Clinic and IBM collaborated to create supervised and unsupervised…

Read More Cleveland Clinic and IBM’s Blueprint for Discovering Novel Immunotherapy Targets Using Artificial Intelligence
AI | Bioengineering | Bioinformatics | News | Paper Summary | Proteomics | Trending

Transforming Protein Engineering with UW-Madison’s Self-Driving Labs ‘SAMPLE’: A Cutting-edge, AI-driven Fully Autonomous Platform
ByDeotima Chakraborty January 24, 2024October 22, 2026

Although the field of protein engineering offers countless applications in chemistry, energy, and medicine, the process of designing new proteins with enhanced or unique functionalities is still labor-intensive, slow, and ineffective. The Self-driving Autonomous Machines for Protein Landscape Exploration (SAMPLE) platform for completely autonomous protein engineering is presented here by researchers from the University of…

Read More Transforming Protein Engineering with UW-Madison’s Self-Driving Labs ‘SAMPLE’: A Cutting-edge, AI-driven Fully Autonomous Platform
AI | Bioinformatics | Computational Models | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Structural Biology | Trending

Meet ChatDrug: A New ChatGPT-powered Conversational Drug Editing Framework
ByDeotima Chakraborty January 23, 2024October 22, 2026

Drug discovery is one of the many fields where recent developments in conversational large language models (LLMs), like ChatGPT, have shown incredible promise. However, the majority of the work that has already been done is on examining conversational LLMs’ skills with regard to chemical reactions and retrosynthesis. However, there is still much to learn about…

Read More Meet ChatDrug: A New ChatGPT-powered Conversational Drug Editing Framework
AI | Big Data | Bioinformatics | Cancer Research | Disease Diagnosis | Health | Neural Network | News | Paper Summary | Trending

MIT Introduces PRISM: Advancing Early Detection of Lethal Pancreatic Cancer with AI-Driven Risk Prediction Models
ByAnchal Negi January 22, 2024October 22, 2026

Pancreatic ductal adenocarcinoma (PDAC) is an extremely aggressive cancer with a poor prognosis, owing mostly to late diagnosis. Expanding screening beyond the 10% now eligible due to genetic susceptibility is critical for early detection and enhanced survival. MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) scientists, alongside Limor Appelbaum, a staff scientist in the Department…

Read More MIT Introduces PRISM: Advancing Early Detection of Lethal Pancreatic Cancer with AI-Driven Risk Prediction Models
AI | Bioinformatics | LLM | Neuroscience | News | Trending

Unlocking Brain Mysteries with BrainLM: A Versatile Foundation Model for Recording Brain Activity
ByDeotima Chakraborty January 21, 2024January 21, 2024

The Brain Language Model (BrainLM), a foundation model for brain activity dynamics trained on 6,700 hours of functional magnetic resonance imaging (fMRI) scans, was introduced by researchers at Yale University. Through self-supervised masked-prediction training, BrainLM exhibits high performance on zero-shot inference and fine-tuning tasks. Accurate prediction of future brain states and clinical variables such as…

Read More Unlocking Brain Mysteries with BrainLM: A Versatile Foundation Model for Recording Brain Activity
AI | Bioinformatics | CRISPR | Machine Learning | News | Paper Summary | Trending

Fighting Pathogens Smarter: How Machine Learning and Data Integration Improves Bacterial CRISPRi Guide Efficiency Prediction
ByAnchal Negi January 19, 2024January 19, 2024

CRISPR interference (CRISPRi) is one of the most widely used CRISPR technologies in bacteria. In this, a catalytically dead Cas protein incapable of DNA cleavage (dCas) is targeted to interfere with the transcription of a gene of choice. Due to complex interactions between guide sequences predicting it accurately remains a challenge. To tackle this problem,…

Read More Fighting Pathogens Smarter: How Machine Learning and Data Integration Improves Bacterial CRISPRi Guide Efficiency Prediction
AI | Bioinformatics | Deep Learning | Drug Discovery | LLM | News | Tools | Trending

Language Models Paired with Geometric Deep Learning Revolutionize Genome-scale Protein Binding Site Annotation
ByDeotima Chakraborty January 17, 2024October 22, 2026

Protein structures depend on nucleic acids and tiny ligands to establish binding sites. Accurate identification of these locations is necessary due to the exponential increase of protein sequence databases. However, the current approaches do not thoroughly address the geometry of protein structures and limit genome-scale applications by relying on costly multiple sequence alignments or experimental…

Read More Language Models Paired with Geometric Deep Learning Revolutionize Genome-scale Protein Binding Site Annotation
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending

High-throughput ADMET Properties Prediction Made Easy with ADMET-AI: A New Platform for Large-scale Chemical Libraries Evaluation
ByAnchal Negi January 13, 2024October 22, 2026

A vital step in drug discovery is accurately evaluating potential drug candidates’ Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET). Traditionally, this process has been time-consuming, expensive, and even limited to small compound libraries, making it difficult to test larger libraries. Recently, a group of researchers developed ADMET-AI, a simple, fast, and accurate platform for ADMET…

Read More High-throughput ADMET Properties Prediction Made Easy with ADMET-AI: A New Platform for Large-scale Chemical Libraries Evaluation
AI | Bioinformatics | Machine Learning | Neural Network | Neuroscience | News | Paper Summary | Trending

New Principles Underlying Neural Activity Discovered With Startling Implications For Machine Learning
BySonal Keni January 12, 2024January 11, 2024

One of the biggest challenges in the machine learning space today is the problem of credit assignment: the identification of the components within the information processing pipeline and pinpointing which are responsible for any errors that crop up in the output generated by the algorithm. The common assumption is that the problem is best resolved…

Read More New Principles Underlying Neural Activity Discovered With Startling Implications For Machine Learning
AI | Big Data | Cancer | Genomics | News | Trending

Alexa, Analyze Cancer Data: Meet Melvin, Your Virtual Genomics Assistant
ByDr. Tamanna Anwar January 7, 2024October 22, 2026

Researchers at the University of Singapore introduced “Melvin,” an Alexa Skill that lets you query cancer genomics data with your voice. This groundbreaking tool bypasses complex interfaces and empowers anyone to ask questions about massive cancer datasets through simple conversations. Melvin promises to democratize cancer research and personalized medicine by putting this life-saving information at…

Read More Alexa, Analyze Cancer Data: Meet Melvin, Your Virtual Genomics Assistant
AI | Big Data | Bioinformatics | Genomics | News | Paper Summary | Tools | Trending

Breaking Barriers in Genomic Research: DRAGEN Delivers Accurate Variant Detection in 30 Minutes
ByAnchal Negi January 7, 2024January 7, 2024

Scientists took decades to decode the complex code of DNA, and though we have come a long way, the journey is far from over. The development of DRAGEN sheds light on new unknown secrets, unlocking a deeper understanding of our bodies and nature around us. Illumina has always provided us with the best tools and resources, acting…

Read More Breaking Barriers in Genomic Research: DRAGEN Delivers Accurate Variant Detection in 30 Minutes
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending

AlphaFold’s Latest Strides: Improved Accuracy for Antibody-Antigen Complex Modeling
BySonal Keni January 5, 2024January 5, 2024

The launch of AlphaFold signaled a revolution in computational modeling: armed with new knowledge of protein structures and unencumbered by limitations on resources and time, scientists were able to use the tool to further their understanding of protein structure, functionality, and interactions. However, AlphaFold’s success in the realm of antibody-antigen modeling is limited. A new…

Read More AlphaFold’s Latest Strides: Improved Accuracy for Antibody-Antigen Complex Modeling
AI | Bioinformatics | Cancer Research | Drug Discovery | Genomics | News

Bridging Gaps in Drug Discovery: Allosteric Atlases Illuminate Therapeutic Avenues in KRAS Oncogene Inhibition
ByDeotima Chakraborty January 3, 2024January 4, 2024

Many proteins are regarded as “undruggable” because of their activity through protein-protein interactions, despite the fact that they have been discovered as therapeutic targets in human diseases. A thorough allosteric map for proteins like KRAS, which is mutated in one out of every ten human malignancies, is required to address this. The goal of this…

Read More Bridging Gaps in Drug Discovery: Allosteric Atlases Illuminate Therapeutic Avenues in KRAS Oncogene Inhibition
AI | Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Tools | Trending

Meet LigandMPNN: A Deep Learning Model Redefining Protein Design with Precision for Small Molecules, Nucleotides, and Metals
BySonal Keni January 2, 2024January 2, 2024

Protein design is an upcoming niche with important implications for many fields in the realms of healthcare, genetic engineering, and drug creation, among others. However, current methods for sequence design have many disadvantages, including a lack of appropriate accuracy and efficiency. A new model, LigandMPNN, seeks to change this. The design of protein sequences is…

Read More Meet LigandMPNN: A Deep Learning Model Redefining Protein Design with Precision for Small Molecules, Nucleotides, and Metals
AI | Antibiotic Resistance | Big Data | Bioinformatics | Drug Discovery | Education | Genomics | LLM | News | Trending

Top 10 Bioinformatics Breakthroughs of 2023!
ByDr. Tamanna Anwar January 1, 2024January 5, 2024

In 2023, bioinformatics discoveries have catalyzed immense progress across the life sciences landscape. These ground-breaking discoveries have provided insight into the complex workings of biological systems, processes, and disease states. From discovering new diagnostic markers to mapping the complexity of the brain, these innovations promise to transform medicine, evolution, and beyond. The pace of bioinformatics…

Read More Top 10 Bioinformatics Breakthroughs of 2023!
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

Designing Drug-like Molecules with DrugHIVE: A Deep Hierarchical Variational Autoencoder for the Structure-based Design
ByDeotima Chakraborty December 28, 2023January 4, 2024

Due to the rapid advancements in AI, structure-based medication design is now widely used as one of the most important methods in early drug development. AI’s deep generative modeling is expanding molecular design beyond classical methods by learning essential intra- and intermolecular interactions from available data, thanks to the increase of crystal structure data and…

Read More Designing Drug-like Molecules with DrugHIVE: A Deep Hierarchical Variational Autoencoder for the Structure-based Design
AI | Big Data | Bioinformatics | LLM | News | Trending

How Well Can LLMs Really Perform Bioinformatics Tasks? BioLLMBench Has Answers
ByDr. Tamanna Anwar December 26, 2023October 22, 2026

Artificial intelligence is transforming industries across the board, and the life sciences are no exception. A new study led by researchers at Anthropic, an AI safety startup based in San Francisco, published in Nature Biotechnology, demonstrates the immense potential of large language models (LLMs) like ChatGPT to serve as AI assistants for bioinformatics research. The paper…

Read More How Well Can LLMs Really Perform Bioinformatics Tasks? BioLLMBench Has Answers
AI | Antibiotic Resistance | Bioinformatics | Deep Learning | Drug Discovery | Infectious Diseases | News | Paper Summary | Trending

MIT Researchers Use AI to Design New Class of Antibiotic Candidates in the Fight Against Superbugs
BySonal Keni December 26, 2023January 4, 2024

Since the discovery of penicillin, a large number of antibiotics have been developed and used all over the world as a means to cure disease. While this has been a boon for humanity, allowing for the easy, effective, and cheap treatment of microbial disease, its misuse has also resulted in many pathogens developing resistance to…

Read More MIT Researchers Use AI to Design New Class of Antibiotic Candidates in the Fight Against Superbugs
AI | Bioinformatics | Cell | Genomics | Health | News | Precision Medicine | Trending

Real-Time Cellular Analysis on Your Wrist: ‘Genomic Smartwatch’ May Offer Continuous Insights into Your Health
ByDr. Tamanna Anwar December 22, 2023October 22, 2026

A ‘Genomic Smartwatch’ technology initiative launched by the Seattle Hub for Synthetic Biology will provide instantaneous observations of individual cell transformations, potentially transforming the landscape of disease research and intervention. An exciting new project brings together some of the biggest brains in science on a mission to install tiny bio computers inside our cells! These cellular trackers…

Read More Real-Time Cellular Analysis on Your Wrist: ‘Genomic Smartwatch’ May Offer Continuous Insights into Your Health
AI | Chemoinformatics | Drug Discovery | LLM | News | Trending

A GPT-driven Robot Chemist Designs, Plans, and Performs Complex Experiments – All by Itself!
ByDr. Tamanna Anwar December 21, 2023October 22, 2026

Scientists at Carnegie Mellon University have unveiled a breakthrough artificial intelligence system called Coscientist that can independently design and execute complex chemistry experiments at the touch of a button. The system aims to accelerate discoveries across scientific domains by leveraging the raw reasoning power of models like GPT-4. Coscientist combines natural language processing prowess with tools enabling…

Read More A GPT-driven Robot Chemist Designs, Plans, and Performs Complex Experiments – All by Itself!
AI | Bioinformatics | Cancer | Genomics | News | NGS | OMICS | Transcriptomics | Trending

Spatial Transcriptomics Unlocks Novel Insights into Cancer Biology: AI Analyzes Gene Activity in 3D
BySonal Keni December 21, 2023January 4, 2024

The introduction of NGS transformed the field of biology, allowing for greater insights into biological mechanisms through the gathering of rich, accessible data. However, important context is lost due to the data being conventionally stored in tabular formats, which erase the impacts that spatial connectivity has on genes and gene expression. A new framework, GENIUS…

Read More Spatial Transcriptomics Unlocks Novel Insights into Cancer Biology: AI Analyzes Gene Activity in 3D
AI | Bioinformatics | Data Science | Health | News | Trending

New AI Model Predicts Life Outcomes from Health and Career Data
ByDr. Tamanna Anwar December 20, 2023October 22, 2026

Artificial intelligence continues advancing into uncharted territory, now claiming the ability to peek into people’s futures. Researchers from the Technical University of Denmark have developed a machine learning algorithm that can predict various life outcomes, like income and mortality risk, based solely on patterns gleaned from Danish national population registers. A recent study in Nature Computational…

Read More New AI Model Predicts Life Outcomes from Health and Career Data
AI | Algorithm | Bioinformatics | News | Paper Summary | Precision Medicine | RNA-Seq | Trending

Atomic AI’s ATOM-1: Leveraging Chemical Mapping Data to Optimize RNA Therapeutics
BySonal Keni December 20, 2023January 4, 2024

New avenues are being paved in the world of healthcare every day. One of the most promising new developments is the creation of RNA-based medications. Demonstrating great therapeutic potential, this new class of therapies offers novel ways of curing diseases. However, their full potential hasn’t yet been unlocked, largely due to a lack of understanding…

Read More Atomic AI’s ATOM-1: Leveraging Chemical Mapping Data to Optimize RNA Therapeutics
AI | Bioinformatics | Health | LLM | News | Trending

Google Unveils MedLM – New AI Models to Transform Healthcare
ByDr. Tamanna Anwar December 19, 2023October 22, 2026

Google recently announced the launch of MedLM, a family of large language models specifically fine-tuned to revolutionize medicine and life sciences. MedLM brings the power of Google’s state-of-the-art natural language processing to enhance healthcare delivery and medical discoveries directly. This represents a watershed moment as Google puts its vast AI resources behind transforming health outcomes…

Read More Google Unveils MedLM – New AI Models to Transform Healthcare
AI | Bioinformatics | Deep Learning | Health | Neural Network | Neuroscience | News | Paper Summary | Trending

The Rising Potential of Deep Neural Networks in Mimicking Brain Responses to Auditory Stimuli
BySonal Keni December 18, 2023January 11, 2024

One of the primary challenges contemporary neuroscience researchers face is building a successful and accurate computational model of the various sensory systems in the body. Such a model could, in theory, replicate the outputs produced by these biological sensory systems when given identical stimuli and could help improve our understanding of how the brain functions…

Read More The Rising Potential of Deep Neural Networks in Mimicking Brain Responses to Auditory Stimuli
AI | Bioinformatics | Disease Diagnosis | Health | News | Tools | Trending

New AI Model ‘popEVE’ Accelerates Rare Disease Diagnosis by Predicting Most Harmful Genetic Mutations
ByDr. Tamanna Anwar December 16, 2023October 22, 2026

A newly developed AI model called popEVE shows promising results for accelerating the diagnosis of rare genetic disorders by predicting which mutations in a patient’s genome are most likely to cause severe disease. The model was created by researchers at the Harvard Medical School, USA, and deployed on genome data from over 31,000 patients with…

Read More New AI Model ‘popEVE’ Accelerates Rare Disease Diagnosis by Predicting Most Harmful Genetic Mutations
AI | Biomedical Engineering | Disease Diagnosis | Health | Medical Informatics | News | Trending

A New Era in Diabetes Assessment: Skin Scanner and AI Score Disease Severity
ByDr. Tamanna Anwar December 13, 2023October 22, 2026

A new non-invasive imaging technique called raster-scan optoacoustic mesoscopy (RSOM) shows promise for detecting diabetes progression and severity by visualizing microscopic changes in the skin’s blood vessels. Recently published research from the Technical University of Munich (TUM) and Helmholtz Munich reveals RSOM’s ability to create detailed three-dimensional maps of the skin’s microvasculature down to capillary…

Read More A New Era in Diabetes Assessment: Skin Scanner and AI Score Disease Severity
AI | Bioinformatics | News | OMICS | Proteomics | Tools | Trending

Analyzing Bio-Ontologies Made Easy: A Deep Dive into simona R Package for Semantic Similarity
ByDr. Tamanna Anwar December 9, 2023December 9, 2023

As modern biology embraces high-throughput genomics and multi-omics profiling, the torrents of data now routinely generated necessitate improved systems organizing information to enable meaningful interpretations. Computational ontologies serve crucial roles, formalizing knowledge into structured controlled vocabularies interconnecting concepts hierarchically. However, deriving insights from these intricate semantic networks at scale remains challenging. Seeking to empower ontology-driven…

Read More Analyzing Bio-Ontologies Made Easy: A Deep Dive into simona R Package for Semantic Similarity
AI | Bioinformatics | Neural Network | News | Paper Summary | Tools | Trending

Unleashing the Power of Recurrent Neural Networks for Orally Bioavailable Drug Design with NovoMol
ByDeotima Chakraborty December 9, 2023December 9, 2023

NovoMol is a novel de novo technique that increases the efficiency of clinical trial times by mass-generating therapeutic molecules with excellent oral bioavailability through the use of recurrent neural networks. The quantitative estimate of drug-likeness (QED) was used to rate the molecules after they were optimized for desired characteristics. Retraining the neural network using generated…

Read More Unleashing the Power of Recurrent Neural Networks for Orally Bioavailable Drug Design with NovoMol
AI | Bioinformatics | Cell | Genomics | News | Paper Summary | RNA-Seq | Tools | Trending

Unlocking the Secrets of Life: Universal Cell Embeddings – A Revolutionary Foundation Model for Cell Biology
ByDeotima Chakraborty December 7, 2023December 7, 2023

Universal Cell Embedding (UCE) is a foundation model proposed by a group of scientists from Stanford University. Using a corpus of cell atlas data from humans and other species, UCE was trained entirely self-supervised without the need for any data annotations. Regardless of tissue or species, any cell can be represented by UCE’s unified biological…

Read More Unlocking the Secrets of Life: Universal Cell Embeddings – A Revolutionary Foundation Model for Cell Biology
AI | Big Data | Bioinformatics | Cancer | Drug Discovery | Medical Informatics | News | Precision Medicine | Trending

From Genes to Therapies: How Bioinformatics is Revolutionizing Translational Medicine
ByDr. Tamanna Anwar December 5, 2023December 5, 2023

We live in an era of big data. Advancements in high-throughput sequencing and other omics technologies have led to exponential growth in biological data generation. Making sense of this flood of genomic, transcriptomic, and proteomic data requires sophisticated computational analysis to glean clinically actionable insights. Here is where the interdisciplinary field of bioinformatics becomes indispensable…

Read More From Genes to Therapies: How Bioinformatics is Revolutionizing Translational Medicine
AI | Bioinformatics | Genomics | News | Paper Summary | Tools | Transcriptomics | Trending

BARtab and Bartools: Revolutionizing Cellular Barcoding Analysis in Genomics Research
ByDeotima Chakraborty December 4, 2023December 5, 2023

Researchers from the Peter MacCallum Cancer Centre, Australia, have introduced an integrated open-source toolset called BARtab and bartools to streamline the analysis of cellular barcoding experiments. Cellular barcoding couples heritable DNA barcodes to high-throughput sequencing to enable precise tracing of cell lineages across conditions. The new tools automate the computational processing of barcode datasets, quality control, filtering,…

Read More BARtab and Bartools: Revolutionizing Cellular Barcoding Analysis in Genomics Research
AI | Bioinformatics | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending

Decoding the Dance of Proteins and Nucleic Acids: Machine Learning Empowers Protein-Nucleic Acid Complexes Prediction with RoseTTAFoldNA
ByDeotima Chakraborty December 3, 2023January 26, 2024

Researchers at the University of Washington, USA, have developed a new AI system called RoseTTAFoldNA that can rapidly and accurately predict the 3D structures of proteins bound to DNA and RNA. The ability to model these protein-nucleic acid complexes has important implications across fields from biomedicine to biotechnology. RoseTTAFoldNA expands on the award-winning protein structure…

Read More Decoding the Dance of Proteins and Nucleic Acids: Machine Learning Empowers Protein-Nucleic Acid Complexes Prediction with RoseTTAFoldNA
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending

Transforming Fragment-based Drug Design: Stanford’s FRAME Employs Machine Learning to Expand Fragments into Ideal Ligands
BySwasti Tyagi December 1, 2023October 22, 2026

Stanford University researchers developed FRAME (Fragment-Based Molecular Expansion), a machine learning framework that uses three-dimensional structures of interactions between proteins and ligands to facilitate drug design based on ‘fragments.’ Fragments are singular chemical groups that are added to ligands for the purpose of performing lead optimization tasks and improving their properties. Ligands are small molecules…

Read More Transforming Fragment-based Drug Design: Stanford’s FRAME Employs Machine Learning to Expand Fragments into Ideal Ligands
AI | Bioinformatics | Deep Learning | Drug Discovery | News | Paper Summary | Proteomics | Structural Biology | Trending

Decoding the Protein-Ligand Enigma: A Deep Dive into Deep Learning Approaches for Binding Affinity Prediction
ByDeotima Chakraborty November 30, 2023November 30, 2023

Researchers from the University of Edinburgh, UK, explore the impact of ligand and protein encodings on binding affinities prediction for different data sets, a crucial aspect of drug development and discovery. Sequence-based deep learning, convolutional neural network-based encodings, and graph neural network-based encodings were used to investigate protein roles. Graph-neural networks were used to construct…

Read More Decoding the Protein-Ligand Enigma: A Deep Dive into Deep Learning Approaches for Binding Affinity Prediction
AI | Big Data | Bioinformatics | Genomics | LLM | News | OMICS | Paper Summary | Trending

Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
BySwasti Tyagi November 29, 2023November 29, 2023

Deep learning techniques have had a significant influence on genomics and the sequencing techniques employed in the field due to the exponential advancements in artificial intelligence (AI) and machine learning (ML) during the past ten years. The review article by a team led by researchers from the University of Toronto elucidates the advantages and drawbacks…

Read More Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
AI | Bioinformatics | Neural Network | News | Paper Summary | RNA-Seq | Transcriptomics | Trending

Meet NeuroVelo: A New Tool to Decode Cellular Dynamics from Single-cell Transcriptomic Data
ByDeotima Chakraborty November 25, 2023November 25, 2023

A study conducted at the International School for Advanced Studies (SISSA) in Trieste, Italy, introduced NeuroVelo, a novel method tackling the challenge of reconstructing temporal cellular dynamics from static single-cell transcriptomics. Unlike existing methods, NeuroVelo combines optimal linear projection learning with a non-linear low-dimensional dynamical system, allowing for better interpretation of results and improved predictive…

Read More Meet NeuroVelo: A New Tool to Decode Cellular Dynamics from Single-cell Transcriptomic Data
AI | Bioinformatics | Health | Machine Learning | Medical Informatics | News | Trending

New Machine Learning Technique Predicts Cancer Patient Cure Rates More Accurately
ByDr. Tamanna Anwar November 24, 2023October 22, 2026

As computing power has exponentially grown, machine learning (ML) techniques have gained immense popularity in healthcare – including predicting outcomes for patients with devastating illnesses like cancer. By estimating survival rates and life expectancy, statistical models help patients and doctors make difficult treatment decisions, weighing benefits against risks. Now, researchers at The University of Texas…

Read More New Machine Learning Technique Predicts Cancer Patient Cure Rates More Accurately
AI | Bioinformatics | Deep Learning | Genomics | News | OMICS | RNA-Seq | Sequencing | Tools | Trending

UCSD’s EUGENe: A New Deep Learning Toolkit to Decode the Regulatory Genome
ByDr. Tamanna Anwar November 22, 2023November 30, 2023

Researchers at the University of California, San Diego, built EUGENe (elucidating the utility of genomic elements with neural nets) – an end-to-end Python toolkit for analyzing genomic sequences using deep learning. EUGENe comprises a collection of modules and sub-packages designed to carry out the essential functions of genomics deep learning. EUGENe aims to enable computational…

Read More UCSD’s EUGENe: A New Deep Learning Toolkit to Decode the Regulatory Genome
AI | Bioinformatics | News | OMICS | Paper Summary | Proteomics | Structural Biology | Tools | Trending

Enlightening the Proteomic Space with Chroma: A Revolutionary Generative Model for Protein Design
ByDr. Tamanna Anwar November 21, 2023October 22, 2026

Proteins are incredible molecules that carry out nearly every function necessary for life. However, their staggering complexity has made designing new proteins an immensely difficult challenge. Now, AI is poised to change that. Scientists have developed Chroma, a groundbreaking AI system that can generate completely novel protein structures and sequences from scratch. This innovation could…

Read More Enlightening the Proteomic Space with Chroma: A Revolutionary Generative Model for Protein Design
AI | Bioinformatics | Cancer | Chronic Diseases | Genomics | News | OMICS | Paper Summary | Trending

Unlocking the Secrets of Disease: The Imageable Genome and the Future of Molecular Medicine
BySwasti Tyagi November 18, 2023November 18, 2023

Researchers at the University of Lucerne utilized molecular imaging to evaluate the expression of certain regions of the human genome. The imaging techniques are part of an AI pipeline that involves human-robot cooperation using deep learning-based artificial intelligence (AI) tools. This would link discrete genes to the diseases that they could possibly be responsible for….

Read More Unlocking the Secrets of Disease: The Imageable Genome and the Future of Molecular Medicine
AI | Bioinformatics | Medical Informatics | News | Trending

Harnessing Artificial Intelligence to Decode Sudden Cardiac Death
ByDr. Tamanna Anwar November 12, 2023November 12, 2023

Sudden cardiac death, the abrupt loss of heart function leading to mortality, accounts for up to 20% of passings globally. Despite being a major public health issue, our capacity to predict and prevent sudden cardiac death remains extremely restricted. However, pioneering investigation applying sophisticated algorithms to medical history data proposes such systems could crack the…

Read More Harnessing Artificial Intelligence to Decode Sudden Cardiac Death
AI | Bioinformatics | Chemoinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

DeepSA: A Cutting-edge Chemical Language Model for Compound Synthesis Accessibility Prediction
BySonal Keni November 10, 2023November 28, 2023

As computationally generated molecules become more popular in the fields of drug development and biotechnology, ease of synthesis becomes a common problem. Often, the molecules generated by machine learning models may be challenging to synthesize and may require many steps, making it too expensive for production. A new deep learning model DeepSA, developed by researchers…

Read More DeepSA: A Cutting-edge Chemical Language Model for Compound Synthesis Accessibility Prediction
AI | Bioinformatics | News | Proteomics | Structural Biology | Tools | Trending

The AlphaFold Revolution Continues: Unraveling the Next-Gen Advancements
BySonal Keni November 6, 2023October 22, 2026

The introduction of AlphaFold 2 was a groundbreaking breakthrough in the field of predicting protein structures and interactions. Google’s DeepMind, was the driving force behind this tool, which used deep learning methods in order to successfully predict the structures of various proteins. Described by many experts in the field as one of the most transformational…

Read More The AlphaFold Revolution Continues: Unraveling the Next-Gen Advancements
AI | Bioinformatics | Computational Models | Deep Learning | Neural Network | News | Paper Summary | Trending

Deep Learning Meets Clinical Microbiology: Unveiling DeepColony for Automated Culture Plates Interpretation
BySonal Keni November 4, 2023November 23, 2023

The introduction of Full Laboratory Automations has served to revolutionize the workflows of labs worldwide, helping with the automation of routine tasks and the capacity for digital analysis of the results. However, a significant limitation is the inability to identify and interpret bacterial cultures, a task that is considered essential in the field of microbiology…

Read More Deep Learning Meets Clinical Microbiology: Unveiling DeepColony for Automated Culture Plates Interpretation

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