An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s13321-019-0381-4

https://doi.org/10.1186/s13321-019-0381-4

Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies

Cited by: 16
Author(s): Christoph Bauer, Gisbert Schneider, Andreas H. Göller
Published: almost 6 years ago

Software Mentions 2

pypi: rdkit
A collection of chemoinformatics and machine-learning software written in C++ and Python
Papers that mentioned: 27
Very Likely Science (65)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)