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Beyond Tertiary Structures: SMRTnet’s Novel Approach to RNA Drug Discovery

Researchers from Tsinghua University and Peking University in China developed the SMRTnet tool, which employs a deep-learning approach to identify interactions between small molecules...

CoLabPCR: A One-stop Tool for Precise and Reproducible Primer Design

Researchers at IBBM (Instituto de Biotecnología y Biología Molecular) and NOVABIOMA Biomanufacturing FlexCo introduced ColabPCR, a Google Colab-based Python notebook created along with collaborators...

From Variant to Disease: How V2P Improves Phenotype-Aware Pathogenicity Prediction

Researchers at Mount Sinai Institute introduced Variant-to-Phenotype (V2P), a new machine learning framework that not only predicts whether a genetic variant is harmful but...

CRISPR-HAWK: Improving CRISPR with Haplotype-Aware Guide Design

CRISPR-HAWK is a guide-RNA design tool created by researchers from the University of Verona, Harvard Medical School, and the Broad Institute to account for...

R2G2: Letting Bioconductor Fly in Galaxy Workflows

Researchers from the Center for Computational Life Sciences at the Cleveland Clinic introduce R2G2, a Python-R framework that automates the integration of R and...

Designing Protein Binders with BoltzGen: A Unified Generative Approach

Researchers at MIT introduce an all-atom generative model, BoltzGen. The model incorporates a design specification language that allows researchers to control constraints like covalent...

DeepSomatic: Redefining Somatic Variant Detection in the Genomic Sequencing Era

Scientists at UC Santa Cruz, Google, the National Institutes of Health, and partner institutes have developed DeepSomatic, a deep-learning tool that detects cancer-related DNA...

Towards Fully Autonomous Molecular Dynamics: The DynaMate Framework

Researchers from École Polytechnique Fédérale de Lausanne (EPFL) and the National Centre of Competence in Research (NCCR) Catalysis, Switzerland, introduced DynaMate, an autonomous AI system that...

How SPURS Unlocks Scalable and Accurate Protein Stability Prediction

Protein engineering is in the middle of a quiet revolution, and a new study from researchers at the School of Computational Science and Engineering,...

Placing Every Atom Right: PEARL’s Deep Learning Approach to Drug Discovery

Genesis Molecular AI and NVIDIA have introduced PEARL (Placing Every Atom in the Right Location), a deep learning foundation model designed for large-scale protein–ligand cofolding...

Agentic AI Meets RNA‑seq: A New Co‑Pilot For Downstream Analysis

Next-generation sequencing has transformed gene expression profiling into a routine experiment, but interpreting those matrices remains a challenge for many labs. Researchers from Kyungpook...

Teaching Genomics Made Easy: Meet eduomics, the Automated Omics Simulation Pipeline

When researchers at the Department of Biology and Biotechnology, the University of Pavia, set out to rethink bioinformatics teaching. They started from a simple...

Unlocking Cellular Mysteries with CellReasoner: A New AI Tool for Biologists

In the rapidly evolving field of single-cell biology, accurately identifying cell types from complex datasets remains a cornerstone of research. A team of scientists...

Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI

Peptides, which are short chains of amino acids, have become increasingly important in the world of medicine and biotechnology. Their unique properties make them...

Can Machine Learning Finally Crack the Protein Expression Code?

A team of researchers from the University of Edinburgh and collaborators from institutions like Stanford and UC San Francisco have tackled a central question...

AlphaGenome: DeepMind’s New AI Model for Unlocking Genome Function

Imagine holding a book written in a language where only 2% of the pages contain clear instructions, while the remaining 98% seem like indecipherable...

From Boltz-1 to Boltz-2: Did We Finally Bridge the Gap Between Structure and Affinity?

In modern biology, accurately simulating biomolecular interactions is a major difficulty. Our capacity to predict biomolecular complex structures has significantly improved with recent developments...

D-I-TASSER Outperforms AlphaFold? A New Frontier in Protein Structure Modeling

The requirement and utility of conventional force field-based folding simulations have been called into question by the overwhelming success of deep learning techniques in...

Unlocking Biomolecular Secrets with AF3Score: A Leap Forward in Structural Evaluation

Researchers from Changping Laboratory in Beijing introduced AF3Score, a novel adaptation of AlphaFold3 designed to evaluate biomolecular structures with unprecedented accuracy. This innovation addresses...

Overlapping Genes, Unfolding Insights: Synthetic Biology Meets AI

Given that the sharing of codon nucleotides dramatically reduces the size of protein sequences, viruses in nature often generate overlapping genes (OLG) in alternate...

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ToposBio Unveils Topos-1: An All-Atom Foundation Model for Intrinsically Disordered Proteins

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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

CleaveNet Enables Scalable and Targeted Protease Substrate Design for Diagnostics and Therapeutics

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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...
PeptiVerse

Advancing Peptide Therapeutics with PeptiVerse’s Unified Prediction Framework

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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...
Human Genome in 4D

Human Genome in 4D: Mapping Structure, Function, and Dynamics

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An integrated atlas of the human 4D genome just dropped, and it is breathtaking in its ambition. In a massive consortium effort, researchers from...
Overview of PackDock.

Redefining SBDD: PackDock Speeds Up Accurate Protein-Ligand Docking with Diffusion Models

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Researchers from the University of Shanghai, China, created PackDock, a diffusion-based side-chain packing model that predicts diverse side-chain conformations in protein binding pockets, both...