High-throughput computational and experimental biology strategy in identifying tumor expressing CAMs

Anguraj Sadanandam, Michelle L. Varney, Rakesh K. Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The combined strategy of experimental and computation biology in identifying Cell Adhesion Molecules (CAM) specific for tumors and organs was discussed. The filtering algorithm was used to identify specific hits to proteins involved in organ-specific hits to proteins involved in organ-specific interaction of cancer cells. Unique CAMs using sequence and pattern analysis with organ-specific peptides as query against mouse genome and proteome sequences were identified. The unique approaches developed to identify tumor-specific molecules, pave the way for complete understanding of role of the identified proteins in various steps of tumor metastasis and making organ specific targeting possible using these peptides.

Original languageEnglish (US)
Title of host publicationProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
Pages450-451
Number of pages2
StatePublished - Dec 1 2004
EventProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 - Stanford, CA, United States
Duration: Aug 16 2004Aug 19 2004

Publication series

NameProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004

Conference

ConferenceProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
CountryUnited States
CityStanford, CA
Period8/16/048/19/04

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'High-throughput computational and experimental biology strategy in identifying tumor expressing CAMs'. Together they form a unique fingerprint.

  • Cite this

    Sadanandam, A., Varney, M. L., & Singh, R. K. (2004). High-throughput computational and experimental biology strategy in identifying tumor expressing CAMs. In Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 (pp. 450-451). (Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004).