[SU/VT17] KB8024 - Protein Predictor Project (SupervisedMachineLearning)

This GitHub repository contains a machine learning project focused on predicting the secondary structure of proteins using Support Vector Machines (SVM) as the underlying predictive model. The predictive power of SVM is further optimized through hyperparameter tuning using GridSearch.

To assess the secondary structure of your protein with STRIDE in Pymol

Python application to compare ssNa secondary structures

Scripts and reference files relevant to the computational analysis of data generated by crosslink-ligation based experiments.

Browse Rfam secondary structures by RNA type

DGD-Cas9

Assess the secondary structure in Pymol

Evaluation of the statistical reproducibility of high-throughput structural analyses for a robust RNA reactivity classification

State of the art software for RNA sequence design. The first to solve the Eterna benchmark!

CB513 datasets for Protein Secondary Structure Prediction

RNA/DNA secondary structure library for processing it as a graph, reading and writing

Framework for benchmarking RNA secondary structure prediction algorithms.

CWL workflow that facilitate performing a series of structural and phenotype related third party prediction methods starting from either a protein FASTA file or a list of Uniprot IDs. Integrated prediction methods refer to secondary structure, solvent accessibility, disordered regions, PTS modifications (phosphorylation, glycosylation, lipid mod…

Python library and CLI for submitting jobs to JPred - A Protein Secondary Structure Prediction Server

Researching the forward-backward algorithm

LLM for Drug Editing, ICLR 2024

RiboNucleic Acid (RNA) Language Model

Deep learning to solve RNA design puzzles