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Gravity-bio-16B-A3B is a biology-focus midtrained model

protein aging clock that predicts chronological age from 85 unique

protein aging clock that predicts chronological age from 92 Olink

proteins, antibodies, small molecules, chemical reactions, materials, and their spatial

Molexar-10M Base is the unconditional base model for Molexar

Molexar-10M Omni is the universal multi-condition model for

protein target sequences. The mirnaprotpred package provides two core modules

Protein Language Models (PLMs). It uses trainable subnetworks to isolate

> Source code, training scripts, and inference utilities for this

both molecules and proteins within a single decoder-only architecture.

This Hugging Face repository stores the official resources for RAMER

promptable and aligned protein language models for protein sequence generation.

KAU-BioMedLLM is a research prototype for source-grounded biomedical

GraphExperiment provides users and developers with an S4 class that

Cross-platform system optimizations for accelerating AlphaFold3 training with 1.73

 

 

 

 

CAPHEINE is a comprehensive computational workflow that automates exploratory evolutionary

Learning the language of protein-protein interactions

protein structure determination from electron density with high accuracy (3DEM/EMBL

protein from a single anchor input, with optional sequence-specific

Mirror of the Boltz-2 structure- and affinity-prediction weights

Access to Biological Web Services from Python.

protein-protein-interactions network graph. 'GOAT' reference: Frank Koopmans (2024) <doi:10.1038/s42003-024-06454-5

PRISM is an antibody language model that jointly predicts amino

JAX/Equinox parameters for Promera, a dual-purpose biomolecular generative model

AMPSeek is a workflow designed to predict the antimicrobial activity

protein relations as adjacency matrices and connected components, visualise these

Computes weighed laboratory buffer recipes from target pH, concentration, and

protein annotations and mappings between proteins and their encoding transcripts

protein sequences, 236 million protein structures, and 539 million proteins

This model card provides an overview of the intended use

This model card provides an overview of the intended use

This set of model weights was released with the GitHub

protein language model for protein sequence generation. It is the smallest

protein language model for protein sequence generation. It is the largest

proteins via backpropagation through compositional design constraints parameterized by structure

This repository hosts release artifacts for ReCLIP:

Interactive R package with an intuitive Shiny-based graphical interface

!Protein-ligand interaction header

First fully open-source model achieving AlphaFold3-level accuracy with

First architecture deeply integrating a DNA foundation model with an

Decentralized self-organizing teams of AI agents for long-running

This set of model weights was released with the GitHub

Fit linear models to overdispersed count data. The package can

CGAS is an automated Python-based pipeline providing a comprehensive

650M, layer 33) for interpretability research on protein language models.

protein sequences and 3D structures, conditioned on and co-folded