Breakthrough in Protein Design: MIT Researchers Develop Computational Approach for Easier...
Modeling the combinatorially huge number of sequences is not practical since previous approaches frequently restrict optimization to a narrow mutational radius, restricting the design...
Streamlining Bacterial Epigenomics: Bacmethy, One-Stop Tool for Bacterial DNA Methylation and...
DNA has been a holy grail as it is believed to contain all the intricate instructions that build and run an organism. However, scientists...
Meet MolProphet: A One-Stop AI Platform for the Early Stages of...
Are you aware that plenty of operational AI applications have emerged in the early stages of small-molecule drug discovery? Do you recognize that those...
Can AI Help Us Discover New Drugs Faster? Unveiling MegaKG, the...
Drug discovery has traditionally been a tedious and difficult process characterized by sifting through large amounts of data, which may be about to get...
Exploring BioMedLM – 2.7 Billion Parameter GPT-style Autoregressive Model: A Breakthrough...
A new NLP model called BioMedLM from the researchers of Stanford University and DataBricks seeks to rival models like Med-PaLM 2, which performs admirably...
Bridging Gaps in Structure-Based Drug Design: The MolSnapper’s Breakthrough Conditioning Diffusion...
The synergy among the Nuffield Department of Medicine and the Department of Statistics at the University of Oxford represents a blend of medical expertise...
Exploring Medicine’s Future with KnowDDI: How Knowledge Subgraph Learning Improves Drug-Drug...
Have you ever wondered what happens when you take multiple medications? Although each drug is intended to address a particular condition, there are instances...
A New Weapon in the Public Health Arsenal: VaccineDesigner Simplifies Epitope-based...
A ground-breaking solution in modern-day continuously advancing healthcare internationally is developing waves in vaccine improvement. Developed by brilliant minds at the School of Medicine,...
Meet PiMine: A Database-Driven Approach for Protein-Protein Interface Similarity Detection
Researchers at Universität Hamburg introduced PiMine, an application that senses structurally related protein-protein interfaces while being driven by a database. PiMine analyzes these interfaces,...
Brown University’s Subsampled AlphaFold2 Approach for Predicting Protein Dynamics: A Game-changer...
Proteins are life's molecular workhorses and play crucial roles in every biological process. Understandably, their complex shapes, also known as conformations, are the key...
Unlocking New Drug Targets: Researchers Develop Computational Method to Target Proteins Inside...
Can you imagine that you can design proteins that have a particular function, and they are like small robots working inside our cells? This...
Revolutionizing Cell Type Annotation: GPT-4’s Breakthrough in scRNA-seq Analysis
Single-cell RNA sequencing (scRNA-seq), a rapidly developing field of RNA sequencing of single cells, has recently made a breakthrough that could revolutionize cell type...
AI vs. Superbugs: A New Generative AI Model ‘SyntheMol’ Designs Powerful Antibiotics...
AI is being used to find novel antibiotics for bacteria resistant to pandemics; however, the currently used techniques have serious drawbacks. While generative models...
A New Era in Enzyme Design: How NeuroFold Integrates Multimodal Data...
The main obstacle in protein engineering is the lack of diversity in training data, which makes it difficult to create high-performance enzyme variations with...
Creating Antibodies from Scratch: Scientists Design Single-Domain Antibodies with Atomic Precision...
The inability to logically design new antibodies that bind a particular epitope on a target persists despite the crucial role that antibodies play in...
Unveiling MetagenomicKG: A Pioneering Knowledge Graph for Metagenomics Exploration
In the vast and intricate realm of metagenomics, where microbial communities unveil a wealth of biomedical knowledge, a groundbreaking development has emerged. Scientists from...
Deciphering Ligand-Receptor Signaling Dynamics at Cellular Resolution with CytoSignal: A Breakthrough...
A thorough understanding of the cellular connections inside these tissues is being made possible by technologies that use spatial transcriptomic approaches to revolutionize the...
Unveiling PROTLLM: The Next Generation Cross-Modal Large Language Model for Protein-Centric...
PROTLLM is a versatile crossmodal large language model (LLM) proposed by Beijing Institute of Technology researchers designed for protein-centric and protein-language tasks. It can handle...
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...
Must Read
Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design
In a recent breakthrough in AI-driven drug discovery, researchers from Pfizer, AstraZeneca, and Chalmers University unveiled a new generative framework called FLOWR, designed to...
Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development
G protein-coupled receptors (GPCRs) are essential membrane proteins with dynamic conformations that are also major targets for drug development and discovery. However, designing protein...
Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery
Hundreds of scientists come together through collaborative efforts to accomplish a shared goal during scientific discovery processes. Current workflows generate research independently, yet they...
MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation
Recent years have witnessed significant advancements in the fields of artificial intelligence (AI) and machine learning (ML), catalyzing a revolution in cheminformatics and drug...
Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data
There are more than 100 NMR relaxation datasets in the Biological Magnetic Resonance Data Bank (BMRB), which show an observable motion in µs-ms. NMR...