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frankji's Projects

biotite icon biotite

A comprehensive library for computational molecular biology

crossspeciesworkflow icon crossspeciesworkflow

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 modification, sumoylation, etc).

cs229-2018-autumn icon cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

dora icon dora

Tools for exploratory data analysis in Python

dssp icon dssp

Application to assign secondary structure to proteins

esm icon esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

fpocket icon fpocket

fpocket is a very fast open source protein pocket detection algorithm based on Voronoi tessellation. The platform is suited for the scientific community willing to develop new scoring functions and extract pocket descriptors on a large scale level. fpocket is distributed as free open source software. If you are interested in integrating fpocket in an industrial setting and require official support, please contact Discngine (www.discngine.com).

freesasa icon freesasa

C-library for calculating Solvent Accessible Surface Areas

getcontacts icon getcontacts

Library for computing dynamic non-covalent contact networks in proteins throughout MD Simulation

graphormer icon graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

hsm icon hsm

Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."

intermol icon intermol

Conversion tool for molecular simulations

libcifpp icon libcifpp

Library containing code to manipulate mmCIF and PDB files

masif icon masif

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

moses icon moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

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