Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

OPUS-Fold: An Open-Source Protein Folding Framework Based on Torsion-Angle Sampling

OPUS-TASS: A Protein Backbone Torsion Angles and Secondary Structure Predictor Based on Ensemble Neural Networks

A console application for the estimation of the primary and secondary structure's elements. Input should be the FASTA-formatted "ss.txt" file generated by PDB database.

Protein secondary structure predictor

R shiny app to analyse circular dichroism data

PSSpred (Protein Secondary Structure prediction) is a simple neural network training algorithm for accurate protein secondary structure prediction. It first collects multiple sequence alignments using PSI-BLAST. Amino-acid frequence and log-odds data with Henikoff weights are then used to train secondary structure, separately, based on the Rumel…

MUFold-ss protein secondary structure prediction implementation in pytorch

We predict protein secondary structures using neural networks, focusing on evaluating various RNN models for enhanced accuracy.

Protein Secondary Structure Prediction (PSSP) using machine learning algorithms.