An educational resource to help anyone learn deep reinforcement learning.

AlphaFold 3 inference pipeline.

Neural Collaborative Filtering

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

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

CLEAN: a contrastive learning model for high-quality functional prediction of proteins

https://www.nature.com/articles/s41598-020-74091-z#Tab1

The code for paper "Synthetic Promoter Design in Escherichia coli based on Deep Genera-tive Network"

Software for predicting translation initiation rates in bacteria

GPro: a toolbox for Generative approaches in promoter design

Code for "Gene-Gene Interaction Detection with Deep Learning"

Deep neural network based prediction model for gene essentiality prediction in microbes

Machine learning prediction of enzyme optimum pH

DELEAT is a bioinformatic analysis pipeline for the design of large-scale genome deletions in bacterial genomes.

An interpretable deep learning-based cell line-specific essential protein predictior

Code and data for promoter evolution model CAPE. Please use our website http://www.cape-promoter.com or http://47.101.71.81 for directed evolution for your sequences.

Synthetic promoter design in Escherichia coli based on multinomial diffusion model

Synthetic promoter design in Escherichia coli based on multinomial diffusion model

Source code and data of the paper entitled "iPromoter-Seqvec: Identifying Promoters using Bidirectional Long Short-Term Memory and Sequence-embedded Features"