LLM for Drug Editing, ICLR 2024
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Updated
Jan 17, 2024 - Python
LLM for Drug Editing, ICLR 2024
Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes
RiboNucleic Acid (RNA) Language Model
Deep learning to solve RNA design puzzles
State-of-the-art ab initio prediction of 1D protein structure annotations
Researching the forward-backward algorithm
Parallel solution for local RNA secondary structure analysis
Python library and CLI for submitting jobs to JPred - A Protein Secondary Structure Prediction Server
Cartoon mesh generation for secondary structure of proteins in C++
CB513 datasets for Protein Secondary Structure Prediction
Interactive visualization of cotranscriptional folding
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…
Evaluation of the statistical reproducibility of high-throughput structural analyses for a robust RNA reactivity classification
Python application to compare ssNa secondary structures
State of the art software for RNA sequence design. The first to solve the Eterna benchmark!
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.
RNA/DNA secondary structure library for processing it as a graph, reading and writing
Protein Secondary Structure Analysis and Visualization for Trajectories
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.
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