Standardized data set for machine learning of protein structure
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Updated
Nov 18, 2020 - Python
Standardized data set for machine learning of protein structure
[ICLR'24 spotlight] Saprot: Protein Language Model with Structural Alphabet
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
ProtFlash: A lightweight protein language model
A Python 3 version of the protein descriptor package propy
Deep learning based alignment-free method for protein family modeling and prediction
Python Toolbox For Rosetta Silent Files Processing
Supporting code for our paper "Protein Sequence Modelling with Bayesian Flow Networks"
Simple visualisation tool for sequences' similarity in bioinformatics
Python Toolbox For Rosetta Silent Files Processing
A machine learning model that builds amino acids into a protein model.
[ICML 2021] "Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design" by Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen
Computational programs and algorithms used to convert information from biochemical experiments (DNA/RNA/Protein/DNA chip/NGS) into useful information and data.
A lightweight Python module to read and write FASTA sequence records
Robust simulation software for the comprehensive evaluation of protein electrostatics in unfolded state.
BioSeq2vec: learning deep representation of biological sequences using LSTM Encoder-Decoder
This repository contains the FPredX models for the prediction of excitation maximum, emission maximum, brightness and oligomeric state of fluorescent proteins.
IsoAligner: dynamic mapping of amino acid positions across protein isoforms
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