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

Papers: 10.1007/s10822-021-00405-6

https://doi.org/10.1007/s10822-021-00405-6

Multitask machine learning models for predicting lipophilicity (logP) in the SAMPL7 challenge

Cited by: 9
Author(s): Eelke B. Lenselink, Pieter F. W. Stouten
Published: about 4 years ago

Software Mentions 4

pypi: chemprop
Molecular Property Prediction with Message Passing Neural Networks
Papers that mentioned: 3
Very Likely Science (100)
pypi: mlxtend
Machine Learning Library Extensions
Papers that mentioned: 13
Very Likely Science (100)
pypi: rdkit
A collection of chemoinformatics and machine-learning software written in C++ and Python
Papers that mentioned: 27
Very Likely Science (65)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)