davidlevybooth / MBINF-Introduction-to-PythonLinks
MBINF Introduction to Python Workshop 2024
☆24Updated last year
Alternatives and similar repositories for MBINF-Introduction-to-Python
Users that are interested in MBINF-Introduction-to-Python are comparing it to the libraries listed below
Sorting:
- scripts and facilities for in-silico mutagenesis with FoldX☆66Updated last month
- Interactive Python notebooks for PDBe API training☆58Updated last month
- ☆40Updated 4 years ago
- a collection of colabs useful for molecular biology☆32Updated last year
- ColabFold protocol☆56Updated last year
- ☆36Updated 4 years ago
- ☆87Updated 2 months ago
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆63Updated 10 months ago
- Welcome to Colab_NAMD_suit, your gateway to running MD simulations!☆17Updated last year
- Bioinformatics and Cheminformatics protocols for peptide analysis☆45Updated 3 years ago
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆90Updated last year
- Python generic modular semi-automated platform containing functions for the classification of proteins based on their physicochemical pro…☆35Updated 2 years ago
- Protein Structure Analysis☆63Updated 4 months ago
- ☆30Updated 8 months ago
- ☆56Updated 5 months ago
- ☆39Updated 7 months ago
- Generator and regressor neural networks for antimicrobial peptides☆25Updated 2 years ago
- Set of useful HADDOCK utility scripts☆57Updated 4 months ago
- Python library for calculting synergy of drug combinations using several drug synergy frameworks☆36Updated last year
- Plugin for folding sequences directly in PyMOL☆27Updated 6 months ago
- Pipeline for protein-protein interaction prediction☆27Updated 3 years ago
- Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.☆34Updated 3 years ago
- Tools for molecular Docking☆27Updated 6 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
- METIS: A versatile active learning workflow for optimization of genetic and metabolic networks☆34Updated 3 years ago
- Template-based protein design with Raygun☆76Updated this week
- Predict the structure of immune receptor proteins☆59Updated last year
- Fast AlphaFold-Multimer based pipeline for Protein-Protein Interaction (PPI) screening☆39Updated last year
- The DSSP building software☆50Updated 2 years ago