Pafnucy specifications
Information
Unique identifier | OMICS_29363 |
---|---|
Name | Pafnucy |
Software type | Application/Script |
Interface | Command line interface |
Restrictions to use | None |
Input data | A molecular complex. |
Operating system | Unix/Linux |
Programming languages | Python |
Computer skills | Advanced |
Stability | Stable |
Requirements |
tfbio, tensorflow, openbabel, numpy, h5py, matplotlib, pandas, scikit-learn, seaborn
|
Maintained | Yes |
Download
Versioning
Add your version
Maintainer
- person_outline Pawel Siedlecki <>
Publication for Pafnucy
library_books
Development and evaluation of a deep learning model for protein-ligand binding affinity prediction.
2018 Bioinformatics
PMCID: 6198856
PMID: 29757353
DOI: 10.1093/bioinformatics/bty374
Pafnucy institution(s)
Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland; Department of Systems Biology, Institute of Experimental Plant Biology and Biotechnology, University of Warsaw, Warsaw, Poland
Pafnucy funding source(s)
Supported by the Polish Ministry of Science and Higher Education (POIG.02.03.00-00-003/09-00 and IP2010 037470).
Pafnucy reviews
Be the first to review Pafnucy