title: [Detailed docking of "phospholipid" biological metabolizing pathway].
abstract: OBJECTIVE
  To construct protein functional network according to the physiological process in vivo and functionally based distinct families, to understand biological functions, and to make wise decisions.
  
  
  METHODS
  We described here a very effective strategy combining with multiple-docking and protein-ligand binding-affinity fingerprint method to generate bio-functional network and pathway and reveal the protein "unknown" functions and their relationship.
  
  
  RESULTS
  Totally 27 sets of proteins and 28 bio-active molecules were used to reconstruct the possible phospholipids metabolic network by computational simulation strategy. The protein-ligand network reconstruction and pathway based drug design showed that the direct interaction investigation might be effective in complex biological system study.
  
  
  CONCLUSIONS
  Even for weak and moderate interactions in the real biology system, the relationship between each other can be achieved by fingerprint analysis based on multiple-docking data. The results of these calculations give valuable insight into the pathway and the function relationship among these proteins. This method can be a very useful tool for protein classification, target selection, and inhibitor design.
authors.affiliation: Center for Theoretical Biology, Peking University, Beijing 100871; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences-Peking Union Medical College, Beijing 100094, China.
authors.forename: Zhiyin
authors.initials: Z
authors.lastname: Wu
authors.forename: Zhenming
authors.initials: Z
authors.lastname: Liu
mesh_terms: D008024:Ligands; D062105:Molecular Docking Simulation; D010743:Phospholipids / Q000378:metabolism*; D011506:Proteins / Q000737:chemistry*
chemical_list: D008024:Ligands; D010743:Phospholipids; D011506:Proteins