TY - JOUR
T1 - Infectious Focus Assays and Multiplicity of Infection (MOI) Calculations for Alpha-herpesviruses
AU - Sloutskin, Anna
AU - Goldstein, Ronald S.
PY - 2014/11/20
Y1 - 2014/11/20
N2 - Sloutskin, A., & Goldstein, R. S. (2014). Infectious focus assays and multiplicity of infection (MOI) calculations for alpha-herpesviruses. Bio-protocol, 4(22), e1295-e1295. Predicting the binding mode of flexible polypeptides to proteins is an important task that falls outside the domain of applicability of most small molecule and protein−protein docking tools. Here, we test the small molecule flexible ligand docking program Glide on a set of 19 non-α-helical peptides and systematically improve pose prediction accuracy by enhancing Glide sampling for flexible polypeptides. In addition, scoring of the poses was improved by post-processing with physics-based implicit solvent MM- GBSA calculations. Using the best RMSD among the top 10 scoring poses as a metric, the success rate (RMSD ≤ 2.0 Å for the interface backbone atoms) increased from 21% with default Glide SP settings to 58% with the enhanced peptide sampling and scoring protocol in the case of redocking to the native protein structure. This approaches the accuracy of the recently developed Rosetta FlexPepDock method (63% success for these 19 peptides) while being over 100 times faster. Cross-docking was performed for a subset of cases where an unbound receptor structure was available, and in that case, 40% of peptides were docked successfully. We analyze the results and find that the optimized polypeptide protocol is most accurate for extended peptides of limited size and number of formal charges, defining a domain of applicability for this approach.
AB - Sloutskin, A., & Goldstein, R. S. (2014). Infectious focus assays and multiplicity of infection (MOI) calculations for alpha-herpesviruses. Bio-protocol, 4(22), e1295-e1295. Predicting the binding mode of flexible polypeptides to proteins is an important task that falls outside the domain of applicability of most small molecule and protein−protein docking tools. Here, we test the small molecule flexible ligand docking program Glide on a set of 19 non-α-helical peptides and systematically improve pose prediction accuracy by enhancing Glide sampling for flexible polypeptides. In addition, scoring of the poses was improved by post-processing with physics-based implicit solvent MM- GBSA calculations. Using the best RMSD among the top 10 scoring poses as a metric, the success rate (RMSD ≤ 2.0 Å for the interface backbone atoms) increased from 21% with default Glide SP settings to 58% with the enhanced peptide sampling and scoring protocol in the case of redocking to the native protein structure. This approaches the accuracy of the recently developed Rosetta FlexPepDock method (63% success for these 19 peptides) while being over 100 times faster. Cross-docking was performed for a subset of cases where an unbound receptor structure was available, and in that case, 40% of peptides were docked successfully. We analyze the results and find that the optimized polypeptide protocol is most accurate for extended peptides of limited size and number of formal charges, defining a domain of applicability for this approach.
UR - https://www.mendeley.com/catalogue/33a559a2-8e6a-399e-ac41-5f830dbece5d/
U2 - 10.21769/bioprotoc.1295
DO - 10.21769/bioprotoc.1295
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SN - 2331-8325
VL - 4
SP - e1295
JO - Bio-protocol
JF - Bio-protocol
IS - 22
ER -