john-bradshaw / ml-in-bioinformatics-summer-school-2020Links
Tutorial for "Advances in machine learning for molecules" (for Summer School for Machine Learning in Bioinformatics, https://cs.hse.ru/ssml/)
☆21Updated 5 years ago
Alternatives and similar repositories for ml-in-bioinformatics-summer-school-2020
Users that are interested in ml-in-bioinformatics-summer-school-2020 are comparing it to the libraries listed below
Sorting:
- Prediction of Protein-Small molecule binding affinities☆19Updated 3 months ago
- Curated list on Deep Transformers Applications on Biology and Chemistry☆18Updated 2 years ago
- ☆30Updated 7 months ago
- KDS software for Kinase Drug Selectivity☆11Updated 2 years ago
- StarGazer is a tool designed for rapidly assessing drug repositioning opportunities. It combines multi-source, multi-omics data with a no…☆35Updated 2 years ago
- This repository provides an implementation of the DTi2Vec tool, to identify Drug-Target interaction using network embedding and ensemble …☆12Updated 4 years ago
- Structural space exploration of AlphaFold DB☆12Updated 4 years ago
- Houses deployable code for the SCORCH scoring function and docking pipeline from the related publication: https://doi.org/10.1016/j.jare.…☆18Updated 3 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆34Updated 4 months ago
- Computational Analysis of Novel Drug Opportunities☆40Updated 2 months ago
- iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…☆31Updated 3 years ago
- Web cards/apps describing peptides☆30Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆28Updated 3 years ago
- ☆12Updated 2 years ago
- Repository of Jupyter Notebooks on Colab, Binder and Huggingface for Bio, Chemistry and Physics☆13Updated 2 years ago
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- Code, intermediate results and an interactive visualisation on prediction of putative novel enzymes and small molecule binding proteins p…☆27Updated 2 years ago
- a collection of colabs useful for molecular biology☆31Updated last year
- FingerPrint Kit - Python-based cheminformatics package for fingerprint-related tasks☆12Updated 7 months ago
- A program analyzing 3D protein structures from PDB to generate 2D binding motifs☆15Updated 4 years ago
- RNA Structural Bioinformatics Crash Course & Data Science in Python☆11Updated 3 years ago
- Coloring molecules with explainable artificial intelligence☆16Updated 4 years ago
- TargetDB is a tool to quickly querry multiple publicly available databases and provide an integrated view of the information available ab…☆32Updated last year
- chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models☆17Updated last month
- a protein descriptor for site prediction☆16Updated 6 years ago
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆28Updated 4 years ago
- Easy & Pretrained SOTA Deep Learning for RNA strings☆12Updated 3 years ago
- Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…☆38Updated 4 months ago
- NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.☆34Updated last year