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acid and protein language, integrating DNA/RNA/protein sequences (Nature Machine Intelligence 2025)

Target-Conditioned Molecular Ideation Model for Drug Discovery Research

protein-nucleic acid-small molecule-metal ion complexes, enabling accurate

Gemma 4 E2B fine-tuned on 225K drug–target pairs

Deployable biomedical deep-research agent blueprint combining on-prem multimodal

- 2025-05-15: We identified a bug in the Bacformer

- 2025-05-15: We identified a bug in the Bacformer

protein design framework enabling DNA-encoding of chemistry for programmable

The package allows for predicting whether a coiled coil sequence

protein design achieving state-of-the-art performance on unconditional

This U‑Net model masks features in Atomic Force Microscopy

GO-a-GO annotates Gene Ontology terms that are enriched

# InstaNovo: De novo Peptide Sequencing Model ## Model Description

# InstaNovo: De novo Peptide Sequencing Model ## Model Description

immune escape in proteins like SARS-CoV-2 S proteins.

!Model Architecture

Semi-flexible molecular diffusion model for structure-based drug design

protein engineering. It orchestrates a unified ecosystem of specialized tools

`orthogene` is an R package for easy mapping of orthologous

Leverage the existing open access TCGA data on Terra with

protein sequences. GFF files are often used to describe the features

gMISpy is a Python package designed to compute genetic Minimal

bifidoAnnotator is a bioinformatics tool designed for fine-grained annotation

The complexity of high-throughput quantitative omics experiments often leads

The Bandle package enables the analysis and visualisation of differential

A tool that enables in silico identification, integration, and modeling

protein-DNA binding preferences. It accepts various data types (ChIP

protein-protein interactions. The output would facilitate non-specific background

Protein structure prediction

NormalyzerDE provides screening of normalization methods for LC-MS based

The package pRolocGUI comprises functions to interactively visualise spatial proteomics

mass spectrometry data to reliably infer protein sub-cellular localisation.

A 50% magnitude-pruned version of facebook/esm2t1235MUR50D optimized for efficient

natural language descriptions of protein functions from amino acid sequences.

This repository contains the PyTorch model weights for MarS-FM

protein-language generative model — because proteins deserve better small talk

UBio-MolFM is a foundation model suite for molecular modeling

protein-conditioned codon sequence generation model trained on the representative

protein-language generative model — because proteins deserve better small talk

Bayesian priors to increase power to detect differentially abundant proteins.

Tool to build force field input files for molecular simulation

proteins, nucleic acids, ligands, ions, and post-translational modifications within

Hybrid deep learning and alignment-based tool for identifying viruses

🧬 BioReason-ProAdvancing Protein Function Prediction withMultimodal Biological Reasoning

🧬 BioReason-ProAdvancing Protein Function Prediction withMultimodal Biological Reasoning

protein antigens for subunit vaccine design against multidrug-resistant pathogens

CPSM provides a comprehensive computational pipeline for predicting survival probability

protein fitness prediction and design, aggregating 200+ deep mutational scanning

recoup calculates and plots signal profiles created from short sequence

protein conformational ensembles, covering both experimental PDB states and molecular