Structure-Based Multiscale Approach for Identification of Interaction Partners of PDZ Domains

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• 作者：Garima Tiwari ; Debasisa Mohanty
• 刊名：Journal of Chemical Information and Modeling
• 出版年：2014
• 出版时间：April 28, 2014
• 年：2014
• 卷：54
• 期：4
• 页码：1143-1156
• 全文大小：968K
• 年卷期：v.54,no.4(April 28, 2014)
• ISSN：1549-960X

文摘

PDZ domains are peptide recognition modules which mediate specific protein鈥損rotein interactions and are known to have a complex specificity landscape. We have developed a novel structure-based multiscale approach which identifies crucial specificity determining residues (SDRs) of PDZ domains from explicit solvent molecular dynamics (MD) simulations on PDZ鈥損eptide complexes and uses these SDRs in combination with knowledge-based scoring functions for proteomewide identification of their interaction partners. Multiple explicit solvent simulations ranging from 5 to 50 ns duration have been carried out on 28 PDZ鈥損eptide complexes with known binding affinities. MM/PBSA binding energy values calculated from these simulations show a correlation coefficient of 0.755 with the experimental binding affinities. On the basis of the SDRs of PDZ domains identified by MD simulations, we have developed a simple scoring scheme for evaluating binding energies for PDZ鈥損eptide complexes using residue based statistical pair potentials. This multiscale approach has been benchmarked on a mouse PDZ proteome array data set by calculating the binding energies for 217 different substrate peptides in binding pockets of 64 different mouse PDZ domains. Receiver operating characteristic (ROC) curve analysis indicates that, the area under curve (AUC) values for binder vs nonbinder classification by our structure based method is 0.780. Our structure based method does not require experimental PDZ鈥損eptide binding data for training.