Popular GitHub Repositories for Protein Nucleic Acid Binding

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

List of papers about Proteins Design using Deep Learning

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

Implementation of the model from "ProGen: Language Modeling for Protein Generation"

Generation of protein sequences and evolutionary alignments via discrete diffusion models

Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.

React Native binding of llama.cpp

Diffusion models of protein structure; trigonometry and attention are all you need!

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Colab Notebooks covering deep learning tools for biomolecular structure prediction and design

[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome

Use CTC + tensorflow to OCR

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

Scientific Large Language Models: A Survey on Biological & Chemical Domains

[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"

Go binding for TensorFlow Lite

GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)

[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding