Deep mutational scan of human adenosine deaminase
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Updated
May 30, 2017 - Jupyter Notebook
Deep mutational scan of human adenosine deaminase
This repository contains the source code for the DebruijnExtend tool. This tool uses known secondary structures for common protein kmers to predict the most likely secondary structure. This is done using a debruijn graph approach to incorporate local homology for predicting the most probable secondary structure along a protein. Tested on mac/linux
Base package for the lecturing of LVCC module on "Computational Design of Proteins" @ Universidade de Aveiro, Portugal.
Structural Bioinformatics Course @UAM
Calculation of interatomic interactions in molecular structures
A library of tools for protein design
Orders for the Siegel group's "Bagel" project
The interaction map method to design IDR mutants to change IDR ensembles
Machine learning analysis of BglB data set
Protein design tools as PyMOL plugin
Cluster protein segment using precomputed distance matrix
Benchmark for Biophysical Sequence Optimization Algorithms
Laboratory protocol for the Bagel project
3D CNN predicting protein residues' identity and change-of-stability of single-site mutants.
A protein interaction visualizer with support for RCSB proteins
Reveal protein energy centers.
C++ package that provides tools for correcting structural predictions of proteins (eg. from X-Ray Crystallography or AlphaFold) using X-ray small-angle scattering (SAXS) in solution
Leri Analytics delivers bioinformatics services for and solutions to both the academic labs and industries.
Fine-tuning a pre-trained BERT Model (ProtBert) in PyTorch using DeepLoc Dataset
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