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

Anchal Negi - 0
An integrated atlas of the human 4D genome just dropped, and it is breathtaking in its ambition. In a massive consortium effort, researchers from...
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AI

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

Saniya Sayyed - 0
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...
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AI

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

Jainab Shaikh - 0
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...
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Bioinformatics

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

Jainab Shaikh - 0
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...
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AI

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

Saniya Sayyed - 0
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...
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Bioinformatics

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

Jainab Shaikh - 0
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...
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Bioinformatics

R2G2: Letting Bioconductor Fly in Galaxy Workflows

Anchal Negi - 0
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...
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AI

Designing Protein Binders with BoltzGen: A Unified Generative Approach

Saniya Sayyed - 0
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...
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AI

DeepSomatic: Redefining Somatic Variant Detection in the Genomic Sequencing Era

Jainab Shaikh - 0
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...
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AI

Towards Fully Autonomous Molecular Dynamics: The DynaMate Framework

Saniya Sayyed - 0
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...
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AI

How SPURS Unlocks Scalable and Accurate Protein Stability Prediction

Anchal Negi - 0
Protein engineering is in the middle of a quiet revolution, and a new study from researchers at the School of Computational Science and Engineering,...
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AI

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

Anchal Negi - 0
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...
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AI

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

Anchal Negi - 0
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...
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Bioinformatics

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

Anchal Negi - 0
When researchers at the Department of Biology and Biotechnology, the University of Pavia, set out to rethink bioinformatics teaching. They started from a simple...
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AI

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

Anchal Negi - 0
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...
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AI

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

Deotima Chakraborty - 0
Peptides, which are short chains of amino acids, have become increasingly important in the world of medicine and biotechnology. Their unique properties make them...
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AI

Can Machine Learning Finally Crack the Protein Expression Code?

Anchal Negi - 0
A team of researchers from the University of Edinburgh and collaborators from institutions like Stanford and UC San Francisco have tackled a central question...
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AI

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

Anchal Negi - 0
Imagine holding a book written in a language where only 2% of the pages contain clear instructions, while the remaining 98% seem like indecipherable...
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AI

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

Deotima Chakraborty - 0
In modern biology, accurately simulating biomolecular interactions is a major difficulty. Our capacity to predict biomolecular complex structures has significantly improved with recent developments...
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AI

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

Deotima Chakraborty - 0
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...
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AI Function Prediction

Solving a Long-Standing Genomics Bottleneck: KAIST Proposes AI-Powered Strategy for Gene Function Prediction

Saniya Sayyed - 0
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...
MetagenBERT

AI-Powered Metagenomics: How MetagenBERT Predicts Disease From Raw DNA Sequences

Jainab Shaikh - 0
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...
Topos-1

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

Saniya Sayyed - 0
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

Saniya Sayyed - 0
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

Jainab Shaikh - 0
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...

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