A scikit-learn compatible library for graph kernels
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Updated
Oct 24, 2024 - Python
A scikit-learn compatible library for graph kernels
Official Python client for accessing ChEMBL API
ECG classification programs based on ML/DL methods
Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)
DeepMol: A Machine and Deep Learning Framework for Computational Chemistry
DockStream: A Docking Wrapper to Enhance De Novo Molecular Design
3D pharmacophore signatures and fingerprints
psi4+RDKit
Convert an xyz file into a molecular graph and create a 3D visualisation of the graph.
organic chemistry reaction prediction using NMT with Attention
A Docker-based, cloudable platform for the development of chemoinformatics-centric web applications and microservices.
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
Protein target prediction using random forests and reliability-density neighbourhood analysis
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Linked Chemical Information. LinChemIn is a Python toolkit that leverages the native connectivity of Chemical Reaction Data and provides actionable insights. The toolkit provides a program interface to several Computer-Aided Synthesis Prediction tools, allowing users to devise and calculate metrics on predicted Chemical Synthetic Routes.
MD pharmacophores and virtual screening
Calculation and visualization of molecular networks based on t-SNE algorithm
PIDGIN Version 2: Prediction IncluDinG INactivity: Version 2 (LEGACY VERSION)
pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/
A convenient wrapper around PubChem PUG REST API that allows to search for many compound properties available at PubChem with ease
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