2 个仓库
Awesome GitHub RepositoriesSequence Featurization
Processing and featurizing genomic and proteomic sequences from alignment files for downstream modeling.
Distinct from Genomic Sequence Interpreters: Distinct from Genomic Sequence Interpreters: focuses on featurizing sequences into numerical representations, not deep learning interpretation.
Explore 2 awesome GitHub repositories matching data & databases · Sequence Featurization. Refine with filters or upvote what's useful.
Awesome Sequence Featurization GitHub Repositories
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- deepchem/deepchem
deepchem/deepchem
6,545在 GitHub 上查看DeepChem is an open-source Python framework for applying deep learning to molecular, chemical, and biological data, serving as a comprehensive toolkit for drug discovery and materials science. At its core, it provides a featurizer-pipeline abstraction that converts raw molecular data into numerical representations, including graph-based molecular structures, SMILES tokenization vocabularies, and disk-sharded dataset persistence for handling large-scale data that exceeds RAM capacity. The framework distinguishes itself through integrated molecular docking workflows that automate pocket detecti
Featurizes genomic and proteomic sequences from alignment files for downstream machine learning models.
Pythonbiologydeep-learningdrug-discovery - jwohlwend/boltz
jwohlwend/boltz
4,038在 GitHub 上查看Boltz is a deep learning molecular modeler and biomolecular structure prediction system. It uses neural network architectures to simulate the physical folding and docking of biomolecules, specifically predicting the three-dimensional shapes of protein and ligand complexes. The project functions as a protein-ligand complex predictor and binding affinity predictor, estimating the strength and probability of molecular interactions between ligands and targets. These capabilities are applied to computer aided drug design, including ligand binding affinity prediction and protein-ligand interaction
Transforms raw protein sequences into high-dimensional feature vectors using evolutionary information from related sequences.
Python
