Let LLM run your MDs.

Vector graphics cartoons from protein structure

Code for running RFdiffusion

NVIDIA BioNeMo blueprint for generative protein binder design

The repository contains all the code for the paper amino acid encoding using deep learning application

De Novo Antioxidant Peptide Design Via Machine Learning and DFT studies

Deep learning in genomics

CS273B Deep Learning for Genomics Course Materials

DeepMod: a deep-learning tool for genomic-scale, strand-sensitive and single-nucleotide based detection of DNA modifications

Minimal and clean examples of machine learning algorithms implementations

tutorials made for biologists to learn deep learning

Code from "Deep Learning Of The Regulatory Grammar Of Yeast 5′ Untranslated Regions From 500,000 Random Sequences"

Implementation of Alphafold 3 from Google Deepmind in Pytorch

An implementation of the Latent Gan as discribed in the publication [cite]

init commit

Biophysics-Informed Evidential Deep Learning for Uncertainty-Aware Design of Plastic-Binding Peptides

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

This repository contains code for the paper: "Tertiary motifs as building blocks for the design of protein-binding peptides"

Attentive deep learning model for antimicrobial peptide prediction

Code for the ProteinMPNN paper

List of papers about Proteins Design using Deep Learning

A short course on proteins and protein design aimed at early career students

A collection of research papers for AI-based protein design

Listing of papers about machine learning for proteins.

Code for peptide ligand design with machine learning models.

DrugHIVE: Structure-based drug design with a deep hierarchical generative model

Transcription factor binding site prediction for novel DNA sequence data aiding in mutation identification and drug discovery