SMAP software package is designed for the comparison and the similarity search of protein three-dimensional motifs independent on the sequence order. It is based on the works published in:
SMAP has been successfully applied to studying fundamental biological problems and rationally designing polypharmacology drugs. The cases include:
Detecting evolutionary relationships across existing fold spaces
L. Xie and P.E. Bourne 2008 "Detecting Evolutionary Relationships Across Existing Fold Space, Using Sequence Order Independent Profile-profile Alignments". PNAS, 105(14):5441 [PDF]
Elucidating molecular mechanisms defining drug side effects
L. Xie, J. Wang and P.E. Bourne 2007 "In Silico Elucidation of the Molecular Mechanism Defining the Adverse Effect of Selective Esterogen Receptor Modulators". PLoS Comp. Biol., 3(11):e217 [PDF]
Repositioning safe pharmaceuticals to treat different diseases
S. Kinnings, N. Liu, N. Buchmeier, P.J. Tonge, L. Xie and P.E. Bourne 2009 "Drug discovery using chemical systems biology: repositioning the safe medicine Comtan to treat multi-drug and extensively drug resistant tuberculosis". PLoS Comp Biol., 5(7):e1000423 [PDF]
Revealing complex biological networks using small molecules as probes
L. Xie, L. Xie and P.E. Bourne 2009 "Drug Discovery Using Chemical Systems Biology: Identification of the Protein-Ligand Binding Network To Explain the Side Effects of CETP Inhibitors". PLoS Comp. Biol., 5(5):e1000387 [PDF]
Download SMAP for academic (non-profit or non-commercial users). Commercial users please contact UC San Diego Office of Innovation and Commercialization (innovation@ucsd.edu ) for license information.