Thousands of New Bile Acids Identified: A Major Discovery in Gut...
Bile acids, simple molecules that live in our intestines, have long been relegated to the role of digestive workhorses, faithfully emulsifying fats for absorption....
Basecamp Research Introduces BaseFold: A New Deep Learning Approach to Protein...
Scaling laws predict the presence of over a trillion species on our planet. However, only a small fraction of them have been studied. Deep...
Unlocking the Microbial Universe: AllTheBacteria – Unparalleled Resource for Bacterial Genomics
DNA archives are a public repository for a great amount of knowledge about the evolution of bacteria and their mobile elements. However, the majority...
BioModME: A User-friendly Web Application for Building and Analyzing Biological Models
The complex processes that regulate biological systems have fascinated scientists for thousands of years. However, elucidating these complex issues sometimes requires thinking outside the...
Exploring the Boundless Frontiers of Biomolecular Modeling and Design with RoseTTAFold...
Models like AlphaFold2 (AF2) and RoseTTAFold, a modified structural biology tool, have not been able to replicate well the interactions or covalent changes with...
Prostate Cancer: Beyond One Disease? AI Uncovers Hidden Diversity
Prostate cancer remains a significant health threat for men globally. The development of cancer is an evolutionary process involving the sequential acquisition of genetic...
Decoding Genes and Cells with GenePT: A Simple Yet Powerful Foundation...
Large-scale gene expression data is used by Geneformer and scGPT models to build fundamental single-cell biology models. These models implicitly learn gene and cellular...
Unlocking Cellular Secrets: SCORPION’s Breakthrough in Population-level Comparisons of Gene Regulatory...
Gaining insight into the intricate workings of genes within cells is essential to comprehending biological processes and illnesses. Bulk RNA sequencing, which hides diversity...
Unveiling the Potential of RiNALMo: Advancing RNA Structure Prediction with General-Purpose...
Numerous fundamental functions of ribonucleic acid (RNA) are involved in basic biological processes. It is imperative that we deepen our comprehension of the structures...
Microsoft Reveals ViSNet: A Cutting-Edge Framework for Molecular Property Prediction and...
Molecular geometry modeling, which involves building models that show the spatial arrangement of atoms in a molecule, usually helps with this understanding. The field...
Revolutionizing Protein-Nucleic Acid Binding Prediction with PNAbind: A Graph Neural Network...
The geometric characteristics of protein-nucleic acid complexes, which are explored using structural models, are crucial for proteins to recognize and bind nucleic acids. However,...
ProLLaMA: A Multi-Tasking Protein Language Model Ushering in a New Era...
The versatile workhorses of our cells, proteins, are essential to many biological processes. Numerous scientific endeavors, such as medication research and the creation of...
Unveiling PTM-Mamba: Revolutionizing Proteomics with PTM-Aware Protein Language Model
In living organisms, different types of proteins are essential for a variety of critical processes. The structural and functional diversity of many protein types...
Unraveling Genetic Mysteries with Proformer: A Hybrid Macaron Transformer Model
The ability to comprehensively decode the cis-regulatory logic that controls the expression values is made possible by the revolutionary high-throughput measurement of the cis-regulatory...
Meet GigaPevt: The Next-Gen Medical Assistant Powered by Multimodal AI
Building a smart and helpful medical assistant through AI is challenging. The healthcare industry has several obstacles, such as the increasing costs and shortage...
Eurofins Discovery Launches DiscoveryAI SAFIRE: A New AI Platform for Drug...
The drug discovery process is unduly time-consuming and expensive. Extensive laboratory testing is required to evaluate potential drug candidates for absorption, distribution, metabolism, excretion,...
Can AI Assistants Crack Bioinformatics Challenges? A New Study Explores the...
The scientific community may uncover the nature of life due to the great amount of biological data at its disposal. Implementing bioinformatics ensures converting...
From Molecules to Genomes: Evo’s Trailblazing Approach to Sequence Modeling and...
The DNA, RNA, and proteins that control an organism's entire functioning are all fully encoded in a sequence called the genome. Large-scale genome databases...
PocketGen: A Novel Deep Generative Model for Designing Protein Binding Sites
The ability to accurately model and redesign ligand binding sites (pockets) on protein surfaces holds tremendous value across fields like drug discovery, enzyme engineering,...
Meet OncoGPT: Can This Medical Language Model Improve Communication and Support...
OncoGPT is a customized language model created by Shenzhen Kanghua Juntai Biotech Co. Ltd. researchers in China that is intended to deliver precise medical...
AlphaFLOW and ESMFLOW: A New Approach to Modeling Protein Ensembles with...
Dynamic structural ensembles play a major role in the biological functions of proteins. For the purpose of learning and sampling the conformational landscapes of...
Unlock the Potential of DeepMod2: A Deep Learning Framework for Precise...
Reduced representation methylation sequencing for CpG islands or imprinted areas is made possible by Oxford Nanopore sequencing, which offers a distinct advantage over other...
Team of AI-made Scientists: A Groundbreaking System for Automating Scientific Discovery
Scientists from the University of Illinois, in collaboration with experts in the field, have unveiled a cutting-edge system named the "Team of AI-made Scientists."...
LLMs in Biomedicine: Navigating the Future with the BioChatter Open-Source Solution
BioChatter, a new open-source framework developed by Heidelberg University researchers and collaborators, aims to harness the power of large language models (LLMs) for biomedical...
Unlocking New Frontiers in Drug Design with PCMol: Integrating AlphaFold and...
Deep learning-based virtual screening provides a more effective way to find molecules that resemble drugs, and virtual sources give chemists useful information. Leiden University...
Unveiling Flexiplex: A Versatile and Fast Demultiplexing and Sequence Searching Tool...
Omics datasets generated by high throughput sequencing contain vast amounts of nucleotide data that must be analyzed to extract meaningful biological insights. A common...
NIH’s All of Us Research Program Unveils 275 Million New Genetic...
The All of Us Research Program, with its ambitious objective of creating a diverse cohort of one million volunteers and making their data available...
Cracking the Code of Drug-Drug Interaction: DDIPrompt Unlocks a World of...
Adverse drug-drug interactions (DDIs) pose a major health risk when using drug combinations to treat complex diseases. However, predicting harmful DDIs is extremely challenging...
AlphaFind: A New Frontier in Proteomic Exploration
Effective structure-based search tools are necessary to efficiently organize the massive volume of data in the database. Novel tools like FoldSeek and 3D-surfer have...
Improving Patient Care: The Role of Large Language Models in Doctors’...
The digitization of health records has enabled powerful AI techniques to extract key medical insights from the vast trove of unstructured clinical notes. However,...
Revolutionizing Drug Discovery with ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction...
Compound-protein interaction (CPI) prediction accuracy is crucial for drug discovery. Creating deep learning models that can be applied broadly requires expanding the CPI data...
OpenFold Unveils SoloSeq and OpenFold-Multimer: Advancing AI in Protein Structure Analysis
OpenFold, an artificial intelligence (AI) research consortium, has announced the release of two new tools that aim to improve protein structure prediction: SoloSeq and...
Accelerating Cancer Research: MuSiCal Offers Accurate and Sensitive Mutational Signature Analysis
Cancer is a complex disease. It is brought on by the accumulation of several gene alterations. Understanding the patterns of these alterations, or mutational...
Unveiling DeepGO-SE: Advancing Protein Function Prediction Leveraging Language Models and GO...
Gene Ontology is an axiomatic theory that describes the molecular roles, biological processes, and cellular placements of proteins using more than 100,000 axioms. Learning...
Meet DNABERT-S: Illuminating Genomic Diversity through Species-Aware DNA Embeddings
For scientists studying the functions of the genome, DNA embedding is a vital tool. Effective investigations like species categorization and metagenomics binning are made...
A Novel GNN Model ‘PathFormer’ Revolutionizes Highly Accurate Disease Diagnosis and...
When analyzing omics data, regression analysis is an essential tool for identifying biomarkers. For the analysis of graph-structured data, graph neural networks (GNNs) are...
University of Michigan Researchers Discover Novel Plant Protein Fold with Potential...
Researchers from the University of Michigan have reported the discovery of a new plant protein fold that catalyzes the formation of macrocyclic peptides through...
Meet Proteus: Transforming the Landscape of Protein Design with Innovation and...
Proteins perform essential functions in living organisms and adopt specific three-dimensional structures dictated by their amino acid sequences. The ability to accurately design novel...
DANCE Unveils Hidden Depths of Protein Movement, Paving the Way for...
One must understand proteins' structural flexibility in-depth to comprehend their role in biological processes and functional systems. It is still challenging to predict various...
Beyond One-Size-Fits-All: Moffitt Unveils First Individualized Predictive Model for the Treatment...
Patients with recently diagnosed non-differentiated multiple myeloma (NDMM) have a wide range of outcomes, with overall survival (OS) spanning from several months to more...
Unlocking the Potential of RNA Design with Generative AI using GenerRNA
A team of researchers from the University of Tokyo developed GenerRNA, the first large-scale pre-trained AI model for automated RNA design that does not...
GPCR-BERT: Revolutionizing GPCR Research with Protein Language Models
Recent advances in large language models (LLMs) and transformers have opened new possibilities for modeling protein sequences as language. Carnegie Mellon University researchers have...
tFold Unveiled: A Swift and Accurate Approach to Antibody-Antigen Complex Modeling...
The soldiers of our immune system, antibodies, bind to specific targets like viruses and toxins and neutralize them. Predicting antibody-antigen complex structures accurately has...
Choosing the Best Tool for Identifying Transcriptional Regulators: Navigating the NGS...
This article delves into a recent study undertaken by a team of researchers that examined multiple computer algorithms for transcriptional regulator prediction using Next-Generation...
Unveiling the Power of Deep Learning: A Comprehensive Benchmark of Tertiary...
Before understanding RNA biology, one must grasp the three-dimensional structure of RNA. Because experimental procedures require a lot of labor and money, computer approaches...
Making AI-Driven Structural Biology Accessible with Foldy
Recent breakthroughs in AI-based protein structure prediction have enormous potential to accelerate discoveries across the life sciences. However, major barriers persist in making these...
MarkerGeneBERT: Revolutionizing Cell Marker Extraction Utilizing Natural Language Processing
MarkerGeneBERT, a natural language processing (NLP) system to automatically extract cell type markers from single-cell sequencing literature by parsing full text, was recently introduced...
CombFold: Advancing Structure Prediction of Large Protein Assemblies with Combinatorial Algorithms...
Deep learning models like RosettaFold and AlphaFold2 can predict protein structure with high accuracy; however, they still have difficulties when it comes to intricate...
Unleashing nanoBERT: Revolutionizing Nanobody Therapeutics with Deep Learning
Scientists from the University of Southern Denmark, NaturalAntibody and Alector Therapeutics unveil nanoBERT, a nanobody-specific transformer designed to predict amino acids in specific positions...
UChicago Scientists Crack the Code of HIV Entry into the Nucleus...
In a major scientific breakthrough, researchers at the University of Chicago have succeeded in creating a comprehensive model of the nuclear pore complex with...
Must Read
Solving a Long-Standing Genomics Bottleneck: KAIST Proposes AI-Powered Strategy for Gene Function Prediction
KAIST and UCSD researchers proposed AI-driven strategies for microbial gene function discovery, addressing the long-standing bottleneck where many microbial genes remain uncharacterized despite advances...
AI-Powered Metagenomics: How MetagenBERT Predicts Disease From Raw DNA Sequences
Researchers from Sorbonne University and Dauphine University, France, introduced MetagenBERT, a Transformer-based framework for disease prediction directly from raw metagenomic DNA without relying on...
ToposBio Unveils Topos-1: An All-Atom Foundation Model for Intrinsically Disordered Proteins
Intrinsically disordered proteins (IDPs) are proteins that are central to neurodegenerative diseases and aggressive cancers like prostate cancer, have been considered ‘undruggable’ as structures...
CleaveNet Enables Scalable and Targeted Protease Substrate Design for Diagnostics and Therapeutics
Scientists from MIT and Microsoft Research present CleaveNet, an AI-based pipeline that merges predictive and generative modeling for end-to-end peptide (short protein) design. By...
Advancing Peptide Therapeutics with PeptiVerse’s Unified Prediction Framework
Researchers at the University of Pennsylvania developed PeptiVerse, a single platform that predicts drug-related properties of therapeutic peptides using either amino acid sequences or...