CSFP - A New Molecular Fingerprint

Molecular fingerprints represent molecules by bit strings and belong to the most frequently used, most central methods of cheminformatics. They form the backbone for fast access to molecules in databases, machine learning with molecules and many tools based on topological molecular similarity.

Scaffold diversity of exemplified medicinal chemistry space. - Abstract - Europe PMC

CSFP approaches for CHM research. It analyzes the ingredients of CHM

The Concept of Partial Shape Similarity

Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development, Journal of Cheminformatics

Open source ECFP/FCFP circular fingerprints in CDK – Cheminformatics 2.0

Cheminformatics techniques in antimalarial drug discovery and development from natural products 2: Molecular scaffold and machine learning approaches

Launching Digital Natural Sciences in Hamburg

Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development, Journal of Cheminformatics

Extended Connectivity Fingerprint ECFP

Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials - Weiner - 2017 - Alzheimer's & Dementia - Wiley Online Library

Object Detection Video

Molecules, Free Full-Text

CSFP - Organizations

Allison North (@MmeNorth) / X

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