Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: pypi: PubChemPy

https://packages.ecosyste.ms/registries/pypi.org/packages/PubChemPy

A simple Python wrapper around the PubChem PUG REST API.
5 versions
Latest release: over 7 years ago
24 dependent packages
34,202 downloads last month

Papers Mentioning PubChemPy 7

10.1038/s41598-020-73978-1
Data based predictive models for odor perception
Cited by: 27
Author(s): Rinu Chacko, Deepak Jain, Manasi Patwardhan, Abhishek Puri, Shirish Karande, Beena Rai
Software Mentions: 8
Published: about 4 years ago
10.1186/s13321-021-00514-2
SANCDB: an update on South African natural compounds and their readily available analogs
Cited by: 22
Author(s): Bakary N'tji Diallo, Michael Glenister, Thommas M. Musyoka, Kevin A. Lobb, Özlem Tastan Bishop
Software Mentions: 5
Published: over 3 years ago
10.1186/s12906-019-2634-1
ETM-DB: integrated Ethiopian traditional herbal medicine and phytochemicals database
Cited by: 22
Author(s): Lemessa Etana Bultum, Assefa Mussa Woyessa, Doheon Lee
Software Mentions: 3
Published: over 5 years ago
10.15252/emmm.201809155
Systematic pharmacological screens uncover novel pathways involved in cerebral cavernous malformations
Cited by: 34
Author(s): Cécile Otten, Jessica Knox, Gwénola Boulday, Mathias Eymery, Marta Haniszewski, Martin Neuenschwander, Silke Radetzki, Ingo Vogt, Kristina Hähn, Coralie De Luca, Cécile Cardoso, Sabri Hamad, Carla Igual Gil, Peter J. Roy, Corinne Albigès-Rizo, Eva Faurobert, Jens Peter von Kries, Mónica Campillos, Elisabeth Tournier‐Lasserve, W. Brent Derry, Salim Abdelilah‐Seyfried
Software Mentions: 2
Published: about 6 years ago
10.1038/s41598-021-82612-7
Explainable drug sensitivity prediction through cancer pathway enrichment
Cited by: 16
Author(s): Yi-Ching Tang, Assaf Gottlieb
Software Mentions: 2
Published: almost 4 years ago
10.1038/s41598-021-93070-6
Random forest classification for predicting lifespan-extending chemical compounds
Cited by: 14
Author(s): Sofia Kapsiani, Brendan J. Howlin
Software Mentions: 2
Published: over 3 years ago
10.1186/s12859-019-3135-4
Comprehensive ensemble in QSAR prediction for drug discovery
Cited by: 84
Author(s): Sunyoung Kwon, Ho Bae, Jeonghee Jo, Sungroh Yoon
Software Mentions: 1
Published: about 5 years ago