alexarnimueller / modlAMPLinks
Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
☆61Updated 8 months ago
Alternatives and similar repositories for modlAMP
Users that are interested in modlAMP are comparing it to the libraries listed below
Sorting:
- Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.☆77Updated 2 years ago
- Bioinformatics and Cheminformatics protocols for peptide analysis☆43Updated 2 years ago
- A Python 3 version of the protein descriptor package propy☆46Updated 2 years ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆30Updated 2 years ago
- pyFoldX: python bindings for FoldX.☆53Updated 4 years ago
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆60Updated 8 months ago
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆90Updated last year
- ☆54Updated 3 months ago
- Direct coupling analysis software for protein and RNA sequences☆53Updated 4 months ago
- Machine learning models for antibody sequences in PyTorch☆41Updated 4 years ago
- A software package for computing features of peptides and proteins☆64Updated last year
- Python package for analysis of antibody heavy and light chains☆25Updated 5 years ago
- deep protein solubility prediction☆40Updated 6 years ago
- Set of useful HADDOCK utility scripts☆56Updated 2 months ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆86Updated last year
- This repository contains the stand-alone tool for MusiteDeep server☆34Updated 5 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆25Updated last year
- PepFun 2.0: improved protocols for the analysis of natural and modified peptides☆26Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆60Updated 4 years ago
- Physicochemical properties, indices and descriptors for amino-acid sequences.☆107Updated 3 months ago
- A bundle of deep-learning packages for biomolecular structure prediction and design contributed to the Rosetta Commons☆36Updated 3 years ago
- scripts and facilities for in-silico mutagenesis with FoldX☆64Updated 4 months ago
- PyMod 3 - sequence similarity searches, multiple sequence/structure alignments, and homology modeling within PyMOL.☆82Updated 9 months ago
- RosettaDesign using PyRosetta☆33Updated 6 years ago
- PSIPRED Protein Secondary Structure Predictor☆58Updated 5 months ago
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 5 years ago
- Interactive Python notebooks for PDBe API training☆57Updated this week
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- RaptorX-Property: a Standalone Package for Protein Structure Property Prediction☆19Updated 6 years ago