2018
DOI: 10.1021/acs.jctc.8b00225
|View full text |Cite
|
Sign up to set email alerts
|

ProPOSE: Direct Exhaustive Protein–Protein Docking with Side Chain Flexibility

Abstract: Despite decades of development, protein-protein docking remains a largely unsolved problem. The main difficulties are the immense space spanned by the translational and rotational degrees of freedom and the prediction of the conformational changes of proteins upon binding. FFT is generally the preferred method to exhaustively explore the translation-rotation space at a fine grid resolution, albeit with the trade-off of approximating force fields with correlation functions. This work presents a direct search al… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
60
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 27 publications
(60 citation statements)
references
References 49 publications
0
60
0
Order By: Relevance
“…To overcome these bottlenecks, considerable effort has been made to develop alternative computational methods [ 8 , 9 ]. Despite some notable advances, however, computational determination of binding mode and in silico improvement of binding affinity remain challenging in general, and purely computational approaches have been insufficiently reliable for such purposes [ 10 13 ] and association energies [ 14 17 ]. Recent rounds of the Critical Assessment of Predicted Interactions (CAPRI) have also shown that current computational methods are not successful in identifying the actual binding mode [ 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…To overcome these bottlenecks, considerable effort has been made to develop alternative computational methods [ 8 , 9 ]. Despite some notable advances, however, computational determination of binding mode and in silico improvement of binding affinity remain challenging in general, and purely computational approaches have been insufficiently reliable for such purposes [ 10 13 ] and association energies [ 14 17 ]. Recent rounds of the Critical Assessment of Predicted Interactions (CAPRI) have also shown that current computational methods are not successful in identifying the actual binding mode [ 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, further testing in CAPRI and other prediction experiments are needed in order to detect potential overtraining that can occur in machine learning with relatively small training sets. We note that a recent analysis found ClusPro more stable than other methods for docking unbound protein structures [28], most likely due to the final selection based on cluster size rather than scoring function value [29].…”
Section: Testing Free Docking Methods On a Recent Benchmarkmentioning
confidence: 85%
“…Each antibody-antigen complex was prepared using the previously published protocol. 51 Each structure was downloaded from the PDB and the biomolecular transformation applied when present. Each antibody-antigen complex was processed with an automated preparation script to generate the initial structures.…”
Section: Initial Structure Preparation For Target Antibody-antigen Complexesmentioning
confidence: 99%
“…On average, 50% of the loop conformations were removed. These loop conformations then had their hydrogen-bond network optimized using an in-house tool 51 followed by an energy minimization with AMBER FF99SB 55 using a distancedependent dielectric of 4, with the H3 loop atoms free to move and all other atoms fixed. The top-100 conformations per H3 stem according to their AMBER energy were retained.…”
Section: Generating H3 Loop Ensemblesmentioning
confidence: 99%
See 1 more Smart Citation