mircare / Porter5Links
Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes
☆47Updated 5 years ago
Alternatives and similar repositories for Porter5
Users that are interested in Porter5 are comparing it to the libraries listed below
Sorting:
- A Python 3 version of the protein descriptor package propy☆48Updated 3 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆43Updated 6 years ago
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆60Updated last week
- Direct coupling analysis software for protein and RNA sequences☆58Updated 6 months ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated last year
- PSIPRED Protein Secondary Structure Predictor☆58Updated 7 months ago
- The DSSP building software☆50Updated 2 years ago
- A Python package for extracting protein sequence features☆62Updated 3 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆26Updated last year
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- ☆20Updated 4 years ago
- Neural networks for deep mutational scanning data☆72Updated 8 months ago
- ☆109Updated 2 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆34Updated 5 months ago
- NetSurfP 3.0: Protein secondary structure and relative solvent accessibility prediction☆24Updated 2 years ago
- Alignment-free structure prediction using protein language models☆22Updated 3 years ago
- predict stability change upon mutation☆30Updated last year
- Create DSSP and HSSP files☆94Updated last year
- Contact map alignment☆42Updated 5 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆60Updated 4 years ago
- Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.☆112Updated 2 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆87Updated last year
- Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…☆41Updated 5 months ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆94Updated 2 years ago
- Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…☆99Updated 4 years ago
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆63Updated 10 months ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆60Updated 4 years ago
- Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.☆34Updated 3 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆76Updated 5 years ago
- Set of useful HADDOCK utility scripts☆57Updated 4 months ago