There are 17 repositories under chemoinformatics topic.
Official Python client for accessing ChEMBL API
Scientific Computing for Chemists with Python is a free book for teaching basic coding skills to chemists using Python, Jupyter notebooks, and the other Python software. This textbook teaches a variety of Python packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, scikit-learn, and others.
Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)
Scikit-learn compatible library for molecular fingerprints and chemoinformatics
ECG classification programs based on ML/DL methods
Python for chemoinformatics
A Knowledge Graph of Common Chemical Names to their Molecular Definition
DeepMol: A Machine and Deep Learning Framework for Computational Chemistry
A python package for graph kernels, graph edit distances, and graph pre-image problem.
DockStream: A Docking Wrapper to Enhance De Novo Molecular Design
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Python for chemoinformatics
[ICLR'25] ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Convert an xyz file into a molecular graph and create a 3D visualisation of the graph.
The Biochemical Algorithms Library
Data toolkits for processing NMR, MALDI MSI, MALDI single cell, Raman Spectroscopy, LC-MS and GC-MS raw data, chemoinformatics data analysis and data visualization.
Chemical representation learning paper in Digital Discovery
organic chemistry reaction prediction using NMT with Attention
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
D3 based interactive visualization library + tool to make render atoms and molecules learning chemical bonding in a fun way.
A Docker-based, cloudable platform for the development of chemoinformatics-centric web applications and microservices.
Chemoinformatics toolkit with support for inorganic molecules
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.
Protein target prediction using random forests and reliability-density neighbourhood analysis
Send data to and from pymol from a remote server (e.g. a cluster running deep learning workflows)