ANaka

AlphaFold3

Open source implementation of AlphaFold3

AlphaFold3

Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch

gorilla-cli

LLMs for your CLI

llm

Access large language models from the command-line

vpSAT

Virus Protein Structural Analysis Toolkit

pet-pilot-2023

Results and data from the pilot round of the Protein Engineering Tournament

fasthtml-modal

Deploy a FastHTML app in just a few lines of simple python code on Modal's serverless infra.

alphafold3-pytorch-lightning-hydra

Implementation of AlphaFold 3 in PyTorch Lightning + Hydra

unit

Next Generation Visual Programming System

pepmlm

Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling

Pallatom

raygun

Template-based protein design with Raygun

superfold

gLM2

ChatMol

ChatGPT in PyMOL now!

design_tools

A compilation of deep learning methods for protein design

timelinize

Store your data from all your accounts and devices in a single cohesive timeline on your own computer

cheap-proteins

Joint embedding of protein sequence and structure with discrete and continuous compressions of protein folding model latent spaces. https://www.biorxiv.org/content/10.1101/2024.08.06.606920v1

geometricus

A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.

Melodia_py

Protein Structure Analysis

proseLM-public

Adapting protein language models for structure-conditioned design

TMbed

Transmembrane proteins predicted through Language Model embeddings

ALDE

Active Learning-Assisted Directed Evolution for Protein Engineering

ProRefiner

Code for ProRefiner: An Entropy-based Refining Strategy for Inverse Protein Folding with Global Graph Attention

biomodals

bioinformatics tools running on modal

minimalaf

Minimal AlphaFold

ProSST

Code for ProSST: A Pre-trained Protein Sequence and Structure Transformer with Disentangled Attention.

ProtSSN

Fusion of protein sequence and structural information, using denoising pre-training network for protein engineering (zero-shot).

ProtLGN

buildware-ai