9,814 Poison Exons Mapped: A Hidden Splicing Switch Behind Brain Disorders
MGH and Broad researchers map 9,814 poison exons and link 1,625 pathogenic variants to brain disorders. Published in Genome Biology.
-
-
AI | News | Protein Design
Prompteina: Designing Proteins From Plain-English Descriptions
Researchers at the University of Washington, the Allen Institute for AI (Ai2), the National University of Singapore, and the Howard Hughes Medical Institute have developed Prompteina, an AI model that generates complete, all-atom protein structures from natural-language descriptions. Instead of setting up a separate technical input for every design goal, a scientist can simply describe…
-
AI | News | Protein Design
SynthID Bio: Google DeepMind Brings Invisible Watermarks to AI-Designed Proteins
Google DeepMind’s SynthID Bio, published in Nature, hides watermarks in AI-designed proteins while preserving binding. How it works and its limits.
-
Bioinformatics | Metabolomics | News | Tools
TurbOmics: A Free, No-Code Web Platform That Puts Metabolomics at the Center of Multi-Omics Analysis
TurbOmics, a free web platform from CNIC and EMBL, integrates metabolomics with proteomics and transcriptomics data, no coding needed.
-
AI | Bioinformatics | Foundation Model | News
Biohub, DOE, NIH and Tech Giants Commit $1.8 Billion to Build Open Data for AI Models of the Human Cell
Biohub, the U.S. DOE, NIH, Google DeepMind, Isomorphic Labs and Meta expand the Virtual Biology Initiative to about $1.8 billion, aiming to build open, AI-ready datasets for predictive models of human cells.
-
AI | Bioinformatics | Drug Discovery | News | Trending
What If a Biotech Company Were Staffed by AI Agents? Meet the Virtual Biotech
Ask anyone in pharma why drugs fail, and you’ll hear the same story. Roughly nine out of ten candidates who enter Phase I never reach approval, mostly because they don’t work well enough or turn out to be unsafe. Years of effort and billions of dollars, gone. The research team based at Stanford University (the…
-
Google DeepMind Launches AlphaGenome Atlas Covering 9 Billion Possible DNA Variants
The work behind AlphaGenome Atlas comes from a large team at Google DeepMind, led by researchers working alongside scientists from the University of Exeter Medical School, the Broad Institute of MIT and Harvard, Boston Children’s Hospital, the Stowers Institute for Medical Research, and several other research centers in the US and UK. Together, they have…
-
AI | Bioinformatics | Data Analysis | Genomics | News | OMICS | Structural Biology | Tools | Trending
Rosalind Workbench: OpenAI Connects AI, Genomics, and Scientific Workflows
OpenAI has introduced Rosalind Workbench, a new research-preview environment available through the ChatGPT app that brings scientific tools, specialized biology models, and data workflows into a single connected space — letting researchers move from a biological question to inspectable evidence without losing the thread between disconnected tools. Scientific research rarely happens inside a single application….
-
GlucoFM: Google’s New Foundation Model Reads Glucose Data Like a Language
Wearables have gotten remarkably good at estimating how much we move and how well we sleep. But glucose regulation — the hidden machinery behind metabolic health — doesn’t show up directly in motion or heart-rate data. It needs its own signal. That’s where continuous glucose monitors (CGMs) come in, tracking interstitial glucose every few minutes…
-
Bioinformatics | Genomics | News | Paper Summary | Trending
Scientists Create a Near-Perfect Telomere-to-Telomere Diploid Human Genome Benchmark for Personalized Genomics
For years, genomics has had a dirty little secret: even our best reference genomes have gaps. Now, a large international team of the National Human Genome Research Institute (NHGRI) at the NIH, along with the National Institute of Standards and Technology (NIST), has closed most of those gaps for good. Their new study introduces what…
-
AI | Bioinformatics | News | Structural Biology | Trending
NovoTags: How AI-Designed Proteins Are Giving Scientists a Sharper View Inside Living Cells
Imagine trying to identify every resident of a bustling metropolis from a rooftop, at night, with only a handful of flashlights. That’s essentially the challenge cell biologists face when trying to track individual proteins inside a cell packed with millions of molecular neighbors. A new tool called NovoTags is about to hand researchers a lot…
-
Bioinformatics | News | Paper Summary | PPI | RNA | Trending | Virus
Scientists Reveal How the Influenza A Virus Rewires Human Cells from the Inside
Every winter, the influenza A virus infects millions of people. In a handful of cells, it manages to do something very hard for scientists to observe: it enters a human cell, releases its own genetic material, and starts rewiring almost everything around it. We have known for decades that this rewiring happens, but seeing exactly…
-
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Tools | Trending
Meet Robin: A Multi-Agent AI Framework for Scientific Discovery
A team from the FutureHouse, University of Oxford and Fordham University published a paper in Nature describing something that sounds like science fiction but is very real lab work: an AI system that proposed, tested, and refined a new drug candidate for an eye disease almost entirely on its own. The system is called Robin,…
-
AI | Bioinformatics | News | OMICS | Paper Summary | Trending
Meet BiOmics: The AI Agent Bridging Data and Biological Meaning
Biology today produces more data than anyone knows what to do with. Sequencers spit out genomes, single-cell experiments generate massive expression matrices, proteomics platforms churn out thousands of protein measurements, and yet, turning all of that into an actual understanding of what is happening inside a cell or a disease remains painfully slow. A team…
-
AMR Alert | Drug Discovery | Health | News | Paper Summary | Structural Biology | Trending
Scientists Discover TB’s Metabolic “Control Switch” — A New Target for Tuberculosis Drugs
The interdisciplinary team, spanning researchers from the University of Surrey, Imperial College London, IISc, and others, discovered Virulence Associated Dikinase (VadK), which evolved from pyruvate phosphate dikinase to histidine kinase. It regulates the methylcitrate cycle used by Mycobacterium tuberculosis to process energy sources from host lipids. Without ΔvadK mutants, the TB bacteria failed to grow…
-
AI | Health | Medical Informatics | News | Paper Summary | Tools | Trending
ATHENA-R1: A Reinforcement Learning AI Agent for Smarter Drug and Treatment Decisions
Picking the right treatment for a patient is rarely a one-step decision. A doctor has to think about the disease, the patient’s other health conditions, the drugs they’re already taking, possible interactions, and warnings that keep changing as new research comes out. It’s a slow, careful process of gathering facts before concluding. A team of…
-
AI | Bioinformatics | Genomics | News | Trending
OpenAI Unveils GeneBench-Pro to Benchmark AI in Genomics and Translational Medicine
Here’s an uncomfortable question for anyone building AI tools for genomics: can a model tell the difference between a real biological signal and a batch effect? Can it recognize when a QC flag should send it back to the drawing board? Most AI benchmarks test whether a model can execute a known analysis pipeline. Almost…
-
AI | Drug Discovery | Generative Biology | News | Protein Design | Tools | Trending
NVIDIA BioNeMo Agent Toolkit: Turning AI Agents into Biomolecular Scientists
NVIDIA launched the BioNeMo Agent Toolkit, a set of AI-ready tools that lets AI agents act like scientists by enabling them to choose models, reason across workflows, and execute environments using BioNeMo Skills to run full scientific workflows in pharma, biotech startups, and labs. AI agents are becoming powerful research assistants in the life sciences,…
-
AI | Bioinformatics | News | Tools | Trending
Claude Science: Anthropic’s New AI Workbench Could Transform Biological Research
Artificial intelligence is rapidly becoming an indispensable research partner in the life sciences. But while many AI tools excel at writing code or summarizing papers, scientific discovery demands much more—it requires integrating literature, analyzing complex datasets, running computational workflows, and generating testable hypotheses. That’s where Claude Science enters the picture. Claude Science, which was recently…
-
From Fragment to Drug Candidate: How Sesame Uses AI to Build Better Molecules
There’s a moment in drug discovery that every medicinal chemist knows well. You’ve found a hit, a molecule that binds to your target, shows early promise, but isn’t quite ready. It might be too big, too greasy, or just structurally awkward. So you strip it down. You keep the core that’s doing the good work,…
-
AI | AMR Alert | Bioinformatics | Machine Learning | News | Paper Summary | Trending
Can Machine Learning Forecast Antibiotic Resistance Trends Across the Globe?
Antimicrobial resistance (AMR) has quietly become one of the defining health crises of our time, undermining the effectiveness of life-saving medicines and putting decades of medical progress at risk. Drug-resistant infections already claim more than 1 million lives each year and contribute to nearly 5 million deaths globally, with projections pointing to a staggering 39 million…
-
AI | Bioinformatics | Generative Biology | News | Paper Summary | Protein Design | Tools | Trending
From Natural Language to Biological Design: How Proto Powers Generative Biology
A structured program produced genetic sequences that don’t exist in nature — then those sequences were built, tested in human cells, and found to work. That single result points to something larger: biology is beginning to look less like a collection of disconnected experiments and more like a programmable system. Proto is the language making…
-
AI | Bioinformatics | News | Paper Summary | Structural Biology | Tools | Trending
DECAF: Genesis AI-Based Framework for Faster and Computationally Efficient All-Atom Protein Cofolding
The high computational cost of generating accurate atomic-level biomolecular structures remains a major challenge in AI-driven drug discovery. Researchers from Genesis Molecular AI, MIT, Carnegie Mellon University, and Imperial College London have developed DeCAF (Denoiser Cofolding All-Atom Flowmap), a framework that distills diffusion-based cofolding models into faster flow-based models capable of generating high-quality protein and…
-
AI | Big Data | Bioinformatics | Drug Discovery | News | PPI | Structural Biology | Tools | Trending
Boltz Launches BoltzMol-1, BoltzProt-1, and a New API for Small Molecule Hit Discovery and De Novo Binder Design
Drug discovery has always been brutally slow. You pick a target, screen hundreds of thousands of compounds, watch most of them fail, spend months on each experiment, and pray that something sticks. For most research teams, especially in academia, that process is simply out of reach. The cost alone can run into the tens of…
-
AI | Drug Discovery | Molecular Dynamics | News | Tools | Trending
What If Molecular Simulations Could Run 10,000 Times Faster?
Conventional molecular dynamics (MD) simulations provide atomistic insights into molecular behavior but are fundamentally limited by their femtosecond time steps, making it computationally challenging to capture the slow conformational changes and relaxation processes that drive chemical and biological functions. Addressing this longstanding challenge, researchers at Chalmers University of Technology and the University of Gothenburg in Sweden have…
-
Bioinformatics | Data Analysis | Genomics | News | OMICS | Tools | Trending
How D&D-seq Is Making Hard-to-Detect DNA-Protein Interactions Visible
If you’ve ever tried to figure out exactly where a transcription factor sits down on the genome inside a single cell, you know it’s one of those problems that sounds simple but has quietly resisted easy solutions for years. A new paper out in Cell from a team of researchers at Weill Cornell Medicine and…
-
AI | Bioinformatics | LLM | News | Proteomics | Structural Biology | Tools | Trending
BioReason-Pro Allows Structured Reasoning for Protein Function Predictions
A team of scientists from the University Health Network – Canada’s Hospital, Arc Institute and Vector Institute developed BioReason-Pro to tackle one of the greatest challenges in biology: protein function prediction. Unlike existing AI tools, which give baffling black-box predictions, BioReason-Pro generates structured reasoning that explains why a protein is assigned a function. By integrating…
-
AI | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending
PPIscreenML: A Rigorous Machine Learning Approach to Screening Protein-Protein Interactions with AF2
Every second, thousands of proteins inside your cells are bumping into each other, forming fleeting partnerships, and splitting apart again. These protein-protein interactions (PPIs) are the invisible handshakes that keep your heart beating, your immune system fighting, and your DNA replicating. Get them wrong, and disease follows. But here’s the problem: figuring out which proteins…
-
AI | News | Paper Summary | PLM | Structural Biology | Tools | Trending
Meet FrustrAI-Seq: Proteome-Wide Frustration Profiling Without Structural Inputs
Proteins are remarkable molecules. They fold, bend, bind, and catalyze, all while balancing an internal tension that most biology textbooks barely mention. That tension has a name: local energetic frustration. And a new study from researchers at Helmholtz Munich, the Technical University of Munich, and the Barcelona Supercomputing Center has just made it dramatically easier…
-
AI | Bioinformatics | Drug Discovery | News | Tools | Trending
Insilico Medicine’s PandaClaw: An Agentic AI for Therapeutic Discovery
For decades, the bottleneck in drug discovery wasn’t the biology; it was the translation. Getting from a disease hypothesis to a viable therapeutic target required researchers to speak two languages fluently—the molecular grammar of living systems and the computational dialect of machine learning. Insilico Medicine is a clinical-stage AI-driven drug discovery company based in Hong…
-
Bioinformatics | Education | News | OMICS | Proteomics | Trending
Beyond the Known Proteome: Microproteins and Peptideins Expand the Blueprint of Life
Molecular biology is currently undergoing a taxonomic reckoning. For decades, the human genome was defined by a stable, canonical figure: roughly 19,500 to 20,000 protein-coding genes. These established sequences form the bedrock of drug development and clinical diagnostics. However, a major collaborative effort is now proving that this “canonical” view is merely the tip of…
-
AI | Bioinformatics | LLM | NGS | Paper Summary | Tools | Trending
What If an AI Agent Could Handle All Your Bioinformatics Plots? Meet PlotGDP
The research team affiliated with Sun Yat Sen University in Guangzhou engineered PlotGDP, an AI-based web server tool designed to assist people with various bioinformatics plotting tasks, with no coding or environment deployment required. Biomedical research catalyzes progress in medicine, diagnostics, and therapies. Thousands of papers are published on a daily basis across journals. Without…
-
AI | Bioengineering | Bioinformatics | LLM | Machine Learning | News | Protein Design | Structural Biology | Trending
How Biologists Can Design Proteins Without Programming Using OpenProtein.AI
OpenProtein.AI is an open-access platform founded by MIT alumni Tristan Bepler and Tim Lu, which provides open-source AI models and a no-code interface for protein engineering. With a motivation to democratize access to advanced protein language models like PoET and PoET-2, they aim to enable biologists without coding expertise to design and analyze proteins by…
-
AI | Bioinformatics | Drug Discovery | News | Trending
Rentosertib and the Dawn of a New Era in AI-Driven Drug Discovery
For years, the promise of artificial intelligence in drug discovery has lived mostly in press releases and conference decks. Researchers have talked about what AI could do — compress timelines, identify overlooked targets, and design better molecules. What we haven’t seen much of, until now, is an AI-designed drug actually walking through clinical trials with…
-
AI | Bioinformatics | News | Paper Summary | Protein Design | Tools | Trending
ROCKET Transforms AlphaFold2 into an Experiment-Driven Structure Modeling Tool
Researchers at the University of Cambridge, Columbia University, and partner institutions have introduced ROCKET, a novel framework that extends AlphaFold2 by integrating experimental data, such as cryo-EM and x-ray crystallography, directly into structure prediction. It fuses machine learning priors with traditional approaches, allowing accurate modeling even at low resolution, noisy, or frontier datasets. Rocket was…
-
Best Summer Internship in Bioinformatics 2026
CBIRT Bioinformatics Summer Internship 2026 blog post blue theme Summer 2026 · CBIRT The Best Summer Internship in Bioinformatics —Dive Into Data This Summer May 4 – June 30, 2026 2-Month Program Online · Mon–Fri ISO 9001:2015 Certified Bioinformatics Machine Learning NGS Analysis Cancer Genomics Network Biology Proteomics Every summer presents a choice — rest,…
-
AI | News | Protein Design | Structural Biology | Trending
MIT Researchers Develop VibeGen: An AI Tool that Designs Novel Proteins by Modeling their Dynamics
Researchers at Mellon University and MIT introduce VibeGen, a generative AI framework for end-to-end de novo protein design conditioned on dynamics. The model generates de novo proteins that not only fold but also exhibit the required dynamics. Proteins and biomolecular structures are the backbones of many functions in our bodies. They catalyze reactions, transmit signals,…
-
AI | Bioinformatics | News | NGS | Paper Summary | Tools | Trending
Scientists Introduce ‘CLASSIC’ Platform Enabling AI-Driven Genetic Circuit Design
Researchers from Rice and Boston universities developed CLASSIC, a platform that combines long- and short-read sequencing to measure over 100,000 multi-gene circuits in human cells. The resulting data was used to train machine learning models to predict circuit behavior and uncover rules for part compositions, accelerating the design-build-test-learn cycle in synthetic biology. Limitations of the…
-
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending
IntelliFold-2: An Open Source Alternative to AlphaFold 3 With Better Accuracy and Robustness
The innovators behind intelliFold-2 at IntelliGen AI emphasize that IntelliFold-2 is designed as a state-of-the-art open source alternative to AlphaFold3 with stronger performance in therapeutically relevant tasks like antibody-antigen docking and protein-ligand co-folding. The architectural refinements, like latent scaling and atom attention, along with algorithmic innovations such as policy-guided diffusion and difficulty-aware loss reweighting, help…
-
AI | Bioinformatics | Drug Discovery | News | Tools | Trending
How AI Predicts Whether a Drug Actually Works—Not Just Fits
There is a question that has quietly haunted drug discovery for decades, one that sounds almost too basic to be a problem. A molecule finds its target protein. It docks in precisely. But then what? Does anything actually happen inside the cell? For a surprisingly long time, computational tools could answer the first part of…
-
AI | Bioinformatics | News | Paper Summary | Protein Design | Structural Biology | Tools | Trending
Transforming All-Atom De Novo Design of Protein Using RFdiffusion3
A major collaboration led by David Baker’s group at the Institute for Protein Design (UW) introduced RFdiffusion3 (RFD3), a next-generation version of the originally developed RFdiffusion. It is a generative diffusion model for general-purpose de novo protein design that works at the all-atom level, allowing precise modelling of hydrogen bonds, ligands, and nucleic acid interactions….
-
AI | Bioinformatics | Health | Medical Informatics | News | Paper Summary | Trending
MHub.ai: Standardizing AI for Reproducible Medical Imaging
An inter-institutional collaboration across the US, Germany, and the Netherlands introduces MHub.ai, an accessibility and reproducibility-prioritizing, open source platform for standardized access to AI models for automating and accelerating research in medical imaging. AI as a Revolution in Medical Imaging and Issues with Its Usability Medical imaging has been a revolution in the medical field…
-
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Tools | Trending
ConGLUDe: Toward General-Purpose Foundation Models for Drug Discovery
Researchers from Johannes Kepler University Linz, Austria, and Merck HealthCare, Germany, developed ConGLUDe (Contrastive Geometric Learning for Unified Computational Drug Design), an AI-based model for drug discovery. The model combines structure-based and ligand-based drug designs into one system instead of treating them separately. It can predict protein-ligand interactions, find binding pockets, and perform virtual screening even when…
-
AI | Bioinformatics | News | Tools | Trending
Claude Opus 4.5 and the Future of AI-Driven Research in Healthcare and Biotechnology
The growing complexity of biomedical research and healthcare demands AI systems that can go beyond general assistance to support end-to-end scientific workflows. Building on this need, Anthropic has expanded its Claude for Life Sciences initiative with the launch of Claude Opus 4.5, alongside new scientific and healthcare connectors and specialized agent capabilities. Designed with privacy-first,…
-
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Tools | Trending
DrugCLIP Enables High-Throughput Virtual Screening Across the Human Proteome
Researchers at Tsinghua University have introduced DrugCLIP, a contrastive learning framework that enables ultrafast and accurate virtual screening at a genome-wide scale. Published in Science, it is validated against 5-HT2AR, TRIP12, and NET, and it enables virtual screening at the genome scale, up to seven orders of magnitude faster than docking methods. Why is there…
-
Beyond the Sequence: How FoldMason is Redefining Multiple Protein Structure Alignment at Scale
The authors at Seoul National University developed FoldMason, a free, open-source, progressive Multiple Structural Alignment (MSTA) method published in Science that uses a structural alphabet from Foldseek and aligns hundreds of thousands of protein structures. Achieving two orders of magnitude faster than other methods, when applied to Flaviviridae glycoproteins, it supported phylogenetic analysis below the…
-
De Novo Peptide Binder Generation: How moPPIt Targets ‘Undruggable’ Proteins
Authors from the University of Pennsylvania and others innovated the motif-specific PPI targeting algorithm (moPPIt), a computational framework that integrates BindEvaluator along with Multi-Objective Guided Discrete Flow Matching (MOG-DFM) to design peptides that can selectively bind functional motifs without needing structural priors. It works directly from sequence data instead of requiring known 3D structures, making…
-
Generating DNA Sequences Using AI: DNA-Diffusion Promises Effective Gene Therapy
The researchers at Broad Institute and Mass General Brigham in Nature Genetics propose DNA-Diffusion, the first ever generative diffusion framework trained on DNA accessibility data to design cis-regulatory elements (CREs) with activity specific to cell-types. The authors validated these synthetic DNA elements using STARR-seq and EXTRA-seq (Endogenous expression Targeted Regulatory Activity sequencing) against blood cancer…
-
Stanford’s SleepFM AI Reads Disease Risk from a Single Night of Sleep
Stanford Medicine and researchers in Denmark and Boston have built an AI foundation model, SleepFM, that can read a single night of lab‑recorded sleep and forecast the risk of more than 100 diseases years before they appear in the clinic. This feels like the moment sleep medicine meets large‑scale, multimodal representation learning in a very…
-
AI | Bioinformatics | LLM | Medical Informatics | News | Tools | Trending
Google’s MedGemma 1.5 and MedASR: Transforming Medical Imaging and Speech Recognition with AI
Google’s Health AI-Developed Foundations (HAI-DEF) has released an updated version of MedGemma (v1.5), an open-source generative AI model with enhanced capabilities in medical imaging and speech recognition. When integrated with MedASR—a newly developed medical speech-to-text model fine-tuned for healthcare dictation—the system operates seamlessly to support complex medical reasoning tasks. Given the pace at which AI…
