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Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
Implementation of Alphafold 3 from Google Deepmind in Pytorch
A trainable PyTorch reproduction of AlphaFold 3.
Biological foundation modeling from molecular to genome scale
Official open-source of CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
DRBPPred-GAT: accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network
Automatically exported from code.google.com/p/cdhit
MMseqs2: ultra fast and sensitive search and clustering suite
Deep functional residue identification
Official Pytorch implementation of PLUS (Protein sequence representations Learned Using Structural information), IEEE Access 2021
TensorFlow code and pre-trained models for BERT
A powerful and flexible machine learning platform for drug discovery
This project is the application of machine learning algorithms to predict bioactivity of IC50 type molecules on SARS Coronavirus (Replicase polyprotein 1ab single-protein database).
binary classify antioxidant protein encode pssm and using cnn, lstm
A repo for protein sequence classification
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
This repository contains the source code for the research paper "SE-BLTCNN: A Channel Attention Adapted Deep Learning Model Based on PSSM for Membrane Protein Classification".