CiDD specifications

Unique identifier:
OMICS_25796
Software type:
Application/Script
Restrictions to use:
Academic or non-commercial use
Output data:
A biologically annotated list of candidate drugs to target that characteristic and a list of cell lines for in vitro experimentation.
Programming languages:
Python, R
Computer skills:
Advanced
Requirements:
numpy, scipy, Ixml
Maintained:
Yes
Name:
Cancer in silico Drug Discovery
Interface:
Command line interface
Input data:
A clinical or molecular characteristic.
Operating system:
Unix/Linux, Mac OS
License:
GNU General Public License version 3.0
Stability:
Stable
Registration required:
Yes

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CiDD support

Maintainers

  • Eduardo Vilar <>
  • Paul Scheet <>

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Publications

Institution(s)

The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA; Department of Epidemiology, The University of Texas - M.D. Anderson Cancer Center, Houston, TX, USA; Department of Gastrointestinal Medical Oncology, The University of Texas– M.D. Anderson Cancer Center, Houston, TX, USA; Clinical Cancer Prevention, The University of Texas – M.D. Anderson Cancer Center, Houston, TX, USA

Funding source(s)

Supported by the Schissler Foundation, the Conquer Cancer Foundation of the American Society of Clinical Oncology and Young Investigator Award and by the National Institutes of Health grants 1R03CA176788-01A1 and U24 CA143883 and U01 GM 92666 and R01HG005859 and 1R01CA172670-01 and by The University of Texas MD Anderson Cancer Center Core Support Grant.

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