Inclusion of the orientational entropic effect and low‐resolution experimental information for protein–protein docking in Critical Assessment of PRedicted Interactions (CAPRI). Issue 12 (14th November 2013)
- Record Type:
- Journal Article
- Title:
- Inclusion of the orientational entropic effect and low‐resolution experimental information for protein–protein docking in Critical Assessment of PRedicted Interactions (CAPRI). Issue 12 (14th November 2013)
- Main Title:
- Inclusion of the orientational entropic effect and low‐resolution experimental information for protein–protein docking in Critical Assessment of PRedicted Interactions (CAPRI)
- Authors:
- Huang, Sheng‐You
Yan, Chengfei
Grinter, Sam Z.
Chang, Shan
Jiang, Lin
Zou, Xiaoqin
Bonvin, Alexandre M. J. J.
Janin, Joël
Wodak, Shoshana J. - Abstract:
- <abstract abstract-type="main"> <title>ABSTRACT</title> <p>Inclusion of entropy is important and challenging for protein–protein binding prediction. Here, we present a statistical mechanics‐based approach to empirically consider the effect of orientational entropy. Specifically, we globally sample the possible binding orientations based on a simple shape‐complementarity scoring function using an FFT‐type docking method. Then, for each generated orientation, we calculate the probability through the partition function of the ensemble of accessible states, which are assumed to be represented by the set of nearby binding modes. For each mode, the interaction energy is calculated using our ITScorePP scoring function that was developed in our laboratory based on principles of statistical mechanics. Using the above protocol, we present the results of our participation in Rounds 22‐27 of the Critical Assessment of PRedicted Interactions (CAPRI) experiment for 10 targets (T46–T58). Additional experimental information, such as low‐resolution small‐angle X‐ray scattering data, was used when available. In the prediction (or docking) experiments of the 10 target complexes, we achieved correct binding modes for six targets: one with high accuracy (T47), two with medium accuracy (T48 and T57), and three with acceptable accuracy (T49, T50, and T58). In the scoring experiments of seven target complexes, we obtained correct binding modes for six targets: one with high accuracy (T47), two with<abstract abstract-type="main"> <title>ABSTRACT</title> <p>Inclusion of entropy is important and challenging for protein–protein binding prediction. Here, we present a statistical mechanics‐based approach to empirically consider the effect of orientational entropy. Specifically, we globally sample the possible binding orientations based on a simple shape‐complementarity scoring function using an FFT‐type docking method. Then, for each generated orientation, we calculate the probability through the partition function of the ensemble of accessible states, which are assumed to be represented by the set of nearby binding modes. For each mode, the interaction energy is calculated using our ITScorePP scoring function that was developed in our laboratory based on principles of statistical mechanics. Using the above protocol, we present the results of our participation in Rounds 22‐27 of the Critical Assessment of PRedicted Interactions (CAPRI) experiment for 10 targets (T46–T58). Additional experimental information, such as low‐resolution small‐angle X‐ray scattering data, was used when available. In the prediction (or docking) experiments of the 10 target complexes, we achieved correct binding modes for six targets: one with high accuracy (T47), two with medium accuracy (T48 and T57), and three with acceptable accuracy (T49, T50, and T58). In the scoring experiments of seven target complexes, we obtained correct binding modes for six targets: one with high accuracy (T47), two with medium accuracy (T49 and T50), and three with acceptable accuracy (T46, T51, and T53). Proteins 2013; 81:2183–2191. © 2013 Wiley Periodicals, Inc.</p> </abstract> … (more)
- Is Part Of:
- Proteins. Volume 81:Issue 12(2013)
- Journal:
- Proteins
- Issue:
- Volume 81:Issue 12(2013)
- Issue Display:
- Volume 81, Issue 12 (2013)
- Year:
- 2013
- Volume:
- 81
- Issue:
- 12
- Issue Sort Value:
- 2013-0081-0012-0000
- Page Start:
- 2183
- Page End:
- 2191
- Publication Date:
- 2013-11-14
- Subjects:
- Proteins -- Periodicals
Proteins -- Periodicals
572.6 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/prot.24435 ↗
- Languages:
- English
- ISSNs:
- 0887-3585
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6936.164000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3564.xml