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On the use of PIPSA to Guide Target‐Selective Drug Design
Author(s) -
Henrich Stefan,
Richter Stefan,
Wade Rebecca C.
Publication year - 2008
Publication title -
chemmedchem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.817
H-Index - 100
eISSN - 1860-7187
pISSN - 1860-7179
DOI - 10.1002/cmdc.200700154
Subject(s) - dihydrofolate reductase , computational biology , drug target , drug , identification (biology) , drug design , similarity (geometry) , ligand (biochemistry) , drug discovery , chemistry , biology , computer science , combinatorial chemistry , biochemistry , pharmacology , artificial intelligence , enzyme , botany , image (mathematics) , receptor
Predicting proteins . PIPSA (Protein Interaction Property Similarity Analysis) provides a means to detect similarities and differences in the interaction fields of structurally related proteins and can therefore assist in identification of regions of proteins to target for selective ligand design. Herein, this is illustrated by application of PIPSA to dihydrofolate reductase, an important drug target.