Unveiling the Spatial Dynamics of Malaria Transmission: A Patch-based Modeling Framework
The researchers managed the challenge of quantification, simulation, and weight appointment to counterfactuals and diversely heterogeneous sets of factors accountable for the dynamism of...
Unlocking New Insights in Alzheimer’s Disease: UC Irvine Neuroscientists Develop the...
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...
Mapping the Cellular Landscape of the Lung: A Comprehensive Human Lung...
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....
UCSC Scientists Introduce “DeepSea”: A Novel Deep Learning-based Software for Cell...
The field of cell biology is undergoing rapid advancement, necessitating a comprehensive comprehension of the intricate dynamics and heterogeneity exhibited by individual cells in...
Drug Off-target Discovery: Integrating Machine Learning, Metabolomics, and Structural Analysis in...
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...
Enhancing Protein Complex Structure Modeling: Deep Learning Meets Crosslinking Mass Spectrometry
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...
MIT’s Language Model “ConPLex” Applied to Protein-Drug Interactions Speeds up Screening...
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...
Serverless Deep Learning Models for Peptide Property Prediction: Achieving State-of-the-Art Results without...
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...
Advancing Drug Discovery with DrugEx: An Open-source Software Package for Exploring...
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...
Integrating Transcriptomics, Metabolomics, and In-silico Drug Predictions to Analyze Burn-induced Liver...
Burn injuries often incite substantial morbidity and lethality aftermath. Severe burn injuries due to hot liquids or solids and fire induce pathophysiological and inflammatory...
Mount Sinai’s Vision-based Transformer Model “HeartBEiT” Interprets Electrocardiograms as Language
Mount Sinai researchers have revealed a groundbreaking artificial intelligence (AI) model for electrocardiogram (ECG) analysis. This pioneering approach allows ECGs to be interpreted as...
Advancing Protein Subcellular and Suborganellar Localization Prediction and Visualization with MULocDeep
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...
Meet Snekmer: A Powerful Machine Learning Based Protein Annotation Tool Utilizing...
Snekmer, an innovative software developed to better understand protein function in microbes, emerged from the collaborative efforts of researchers from the Pacific Northwest National...
AI-Driven Retrosynthesis Prediction with G2Retro: Prospects in Drug Development
Recent research has demonstrated that generative AI has the ability to greatly speed up drug development in the pharmaceutical industry. Currently, it can take...
Accelerating Genomic Workflows: Harnessing the Power of NVIDIA Parabricks
As the integration of genome sequencing in scientific research, government policy, and personalized medicine continues to grow, the primary challenge for researchers has shifted...
Exploring Protein Modifications in Metabolic Diseases: Molecular Mechanisms and Therapeutic Strategies
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...
Meet MDASAE: A Novel Microbe-Drug Association Prediction Model
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....
Repurposing ‘Failed’ Antibiotics: A Promising Approach for Herbicide Development
Resilient weeds, impervious to herbicides, present a grave danger to both the environment and the agricultural sector. The pressing demand for fresh herbicides, armed...
Transforming Natural Product Identification through Deep Self-Supervised Learning Language Models
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...
Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite
Genomic analysis plays a vital role in various areas, such as disease detection, drug development, and genetic disease identification. With the exponential growth of...
Harnessing Machine Learning to Expedite the Search for Plants with Antimalarial...
Malaria, a parasitic disease transmitted by mosquitoes, poses a grave global health menace. With countless annual cases and the escalating defiance of traditional antimalarial...
AI-Driven Antibiotic Discovery: A Breakthrough in Combating Drug-Resistant Infections
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...
Empowering Scientists with MISATO: a Machine Learning Dataset for Structure-based Drug...
Artificial intelligence (AI) has significantly changed the scientific research landscape in recent years, yet structure-based drug development has not been significantly affected. However, a...
Decoding the DNA Repair Network: Insights from a Novel Multi-scale DNA...
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...
AlphaFold’s Impact on Drug Discovery: A Closer Look at How Accurately...
In recent years, significant advancements in machine learning, particularly AlphaFold 2 (AF2), have revolutionized protein structure prediction. These breakthroughs have generated excitement in the...
Meet IRIS: The Innovative Computational Tool for Identifying De Novo Cancer Immunotherapy Targets...
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...
Meet Genomics to Notebook (g2nb): A Comprehensive Notebook Solution to Tackle...
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...
Unleashing the Potential of AI: Breakthroughs in Gene Activation Research and...
Artificial intelligence nowadays dominates our news feeds, capturing public interest as ChatGPT and similar AI advancements take center stage. Biologists are actively investigating novel...
Simulation Tools Shape the Landscape of New Generation Gene Silencing Therapies
A consortium of scientists from across the globe has undertaken a massive computational effort to produce predictive models on the effect of phosphorothioate (PS)...
Enhancing Mortality Risk Prediction in Cardiac Surgery: The Impact of Machine...
Mount Sinai researchers have developed a machine learning algorithm that allows healthcare facilities to forecast the chance of death for specific patients undergoing cardiac...
Fast and Accurate Imaging of Proteins in Cells with TomoTwin: A...
Scientists from the Max Planck Institute of Molecular Physiology, Germany, have developed a method, TomoTwin, an open-source general picking model for cryogenic-electron tomograms. The...
A New Era of Healthcare: Discover the Potential of Smartwatches in...
The University of Queensland researchers have developed a comprehensive plan outlining the integration of smartwatches into Australia's healthcare system. However, the researchers agree that...
Meet Foldseek: A High-Performance Deep Learning Approach for Fast and Accurate...
Scientists from Seoul National University, South Korea, and the Max Planck Institute for Multidisciplinary Sciences, Germany, have developed a deep learning-based method called Foldseek,...
Jumping Genes Could Transform Cancer Treatment with Innovative Immunotherapies
The genetic mechanisms underlying cancer have been the focus of research by scientists and medical professionals worldwide. The human genome has undergone random insertions...
AI-Driven 3D Modeling Sheds Light on ‘Postal Workers’ within Human Cells
Artificial intelligence (AI) and cellular biology have combined to change several sectors, including the mapping and monitoring of cellular activity within the human body,...
Machine Learning-aided Auditory Categorization Model Decodes How Brains Recognize Communication Sounds
Neuroscientists from the University of Pittsburgh extend a previously developed hierarchical model of auditory categorization by including several adaptive neural mechanisms that aid auditory...
Meet Trumpet: The Biocomputing Platform Set to Transform Medicine
The emerging field of biocomputing holds immense promise for transforming both the realms of computing and medicine. With its potential applications ranging from early...
Improving Protein Binder Design: A Tenfold Leap with Deep Learning
Scientists from the University of Washington, USA, studied how deep learning boosts and improves de novo protein binder design and devised a protocol for...
Google Unveils REMEDIS: A Self-Supervised Learning Approach for Robust and Enhanced...
Recent achievements in the field of artificial intelligence (AI) have helped to develop effective medical imaging frameworks that can achieve professional clinical expertise. However,...
Transcriptome-Wide Prediction of Chemical Messenger RNA Modifications: A Novel Approach Using...
Machine learning-based methods have played a significant role in detecting RNA modifications. The advent of new high-throughput experimental and computational techniques has propelled the...
Discover How Single-cell RNA Sequencing is Transforming the Drug Discovery and...
The primary objective of modern proteomics studies is to analyze and isolate the proteome of individual cells from a pool of similar cells. Existing...
Revolutionizing Fragment-based Drug Discovery: An Automated, Open-Source Workflow for Generating 3D...
Scientists from Amsterdam, Netherlands, have developed an automated and open-source workflow for the design of 3D fragment libraries in the KNIME software. Fragment-based drug...
Meet OrthoVenn3: A Powerful, Web-based Platform for Analyzing and Visualizing Orthologous...
Recent developments in comparative genomics studies, along with the availability of cutting-edge computational tools, have revived the study of evolutionary biology and genetics in...
Meet scGPT: A Cutting-edge Foundation Model for Single-cell Multiomics using Generative...
Scientists from the University of Toronto, Canada, have developed a foundation model for single-cell analysis, scGPT, by generative pre-training on over ten million cells....
Broad’s Scientist Introduce a Machine Learning Model to Identify Genetic Factors...
Using the heart as an investigational model, scientists at the Broad Institute of MIT and Harvard have designed an autoencoder-based machine-learning pipeline that can...
Deep Learning Aided Image-Based Plant Phenotyping: A Benchmarking Study of Self-Supervised...
Scientists from the University of Saskatchewan, Canada, have performed a benchmarking analysis of the self-supervised contrastive learning methods used in image-based plant phenotyping. Plant...
De Novo Protein Interaction Design from Protein Surface Fingerprints using a...
The molecular surface of a protein is represented in the form of geometric and chemical attributes that create the unique fingerprint for identifying protein...
Reshaping the Process of Drug Discovery: The Power of AI and...
Scientists from the University of Southern California, USA, shed light on the computational approaches that are transforming the drug discovery process from computer-aided to...
Meet MitoTNT: A Novel Approach for Tracking Mitochondrial Temporal Network in...
Advancements in fluorescence microscopy-based imaging techniques have made it possible for researchers to view and analyze mitochondrial networks in 4D. Researchers at UCSD have...
Streamlining Single-Cell RNA-Seq Analysis with OpenAI’s GPT-4: Reference-Free and Affordable Automated...
Scientists from Columbia University, New York, have reported the possibility of automated cell type annotation in single-cell RNA seq (scRNA-seq) analysis using GPT-4, a...
Must Read
Deciphering the Genetic Blueprint: Groundbreaking Research Reveals Genomic Factors Driving Monkeypox Virus Transmissibility
An epidemic of monkeypox occurred in May 2023 that led to a disease named mpox displaying symptoms such as fever, enlarged lymph nodes, and...
Unveiling Bioinformatics Copilot 1.0: A Cutting-Edge LLM-Driven Solution for Transcriptomic Data Analysis
Single-cell transcriptomics has been generating large-scale information, improving our knowledge of cellular processes across different tissues, and facilitating medication discovery, diagnosis, and prognosis. But...
Decoding Proteins with DeProt: A Breakthrough in Language Modeling through Quantized Structure and Disentangled...
Conventional representational models of protein functions have demonstrated notable performance in downstream tasks; nevertheless, they frequently do not incorporate explicit information on protein structure,...
Empowering Clinicians: How ‘Tyche’ Revolutionizes Medical Image Analysis with AI to Address Uncertainties
Just think about yourself as a physician examining an x-ray. You see an area that seems out of the ordinary, but you are unsure...
Unlocking Protein Co-regulation: How Genomic Language Models Illuminate Function Predictions
Are you aware of the perception of a genomic language model? If not, then it's worth mentioning that researchers at Harvard, Cornell University, and...