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 |
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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).
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