Skip to content
2000
Volume 4, Issue 4
  • ISSN: 1573-4099
  • E-ISSN: 1875-6697

Abstract

Traditional quantitative structure-activity relationship (QSAR) is a term describing a variety of approaches that are of substantial interest for chemistry. Quantitative sequence-activity model (QSAM), applying QSAR strategy to explore sequence-activity/function relationship for biosystems, is greatly meaningful but meanwhile extremely difficult. For biomolecules, high molecular weight, diverse structural morphology and intricate interaction network all bring in traditional QSAR methodologies unprecedented challenges. This article comprehensively reviewed developing process, current state and future perspective of QSAM, concerning its applications into fields of pharmacy, food science, immunology and molecular biology. Besides, discipline-crossing and amalgamation of QSAM with QSAR, bioinformatics and computational biology were also discussed.

Loading

Article metrics loading...

/content/journals/cad/10.2174/157340908786785994
2008-12-01
2024-11-21
Loading full text...

Full text loading...

/content/journals/cad/10.2174/157340908786785994
Loading

  • Article Type:
    Research Article
Keyword(s): biosequence; QSAM; QSAR; statistical modeling; structural characterization
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test