CancerIN – Classification and Designing of Anticancer Compounds

CancerIN

:: DESCRIPTION

CancerIN  is a web server developed for predicting anticancer activity of molecules. Similarity based approach has been used for discrimination or classification of anticancer and non-anticancer molecule.

::DEVELOPER

CancerIN team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux /MacOs
  • Python

:: DOWNLOAD

CancerIN

:: MORE INFORMATION

Citation

Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.
Singh H, Kumar R, Singh S, Chaudhary K, Gautam A, Raghava GP.
BMC Cancer. 2016 Feb 9;16:77. doi: 10.1186/s12885-016-2082-y.

iACP – A sequence-based tool for Identifying Anticancer Peptides

iACP

:: DESCRIPTION

The web-server iACP was developed to identify the anticancer peptides based on the sequence information.

::DEVELOPER

LinDing Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

iACP: a sequence-based tool for identifying anticancer peptides.
Chen W, Ding H, Feng P, Lin H, Chou KC.
Oncotarget. 2016 Mar 1. doi: 10.18632/oncotarget.7815.

CancerDP – Prioritization of Anticancer Drugs

CancerDP

:: DESCRIPTION

CancerDP is a web server for predicting priority/potency of an anticancer drug against a cancer cell line using its genomic features

::DEVELOPER

CancerDP team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine.
Gupta S, Chaudhary K, Kumar R, Gautam A, Nanda JS, Dhanda SK, Brahmachari SK, Raghava GP.
Sci Rep. 2016 Mar 31;6:23857. doi: 10.1038/srep23857.

AntiCP – Prediction and Designing of Anticancer Peptides

AntiCP

:: DESCRIPTION

AntiCP is web based prediction server for Anticancer peptides. SVM models developed are based on amino acid composition and binary profile features. Positive dataset consists of 225 antimicrobial peptides with anticancer properties.

::DEVELOPER

AntiCP team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Sci Rep. 2013 Oct 18;3:2984. doi: 10.1038/srep02984.
In silico models for designing and discovering novel anticancer peptides.
Tyagi A1, Kapoor P, Kumar R, Chaudhary K, Gautam A, Raghava GP.