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Journal Articles Journal of Computational Chemistry Year : 2019

Controlled‐advancement rigid‐body optimization of nanosystems

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Abstract

In this study, we propose a novel optimization algorithm, with application to the refinement of molecular complexes. Particularly, we consider optimization problem as the calculation of quasi‐static trajectories of rigid bodies influenced by the inverse‐inertia‐weighted energy gradient and introduce the concept of advancement region that guarantees displacement of a molecule strictly within a relevant region of conformational space. The advancement region helps to avoid typical energy minimization pitfalls, thus, the algorithm is suitable to work with arbitrary energy functions and arbitrary types of molecular complexes without necessary tuning of its hyper‐parameters. Our method, called controlled‐advancement rigid‐body optimization of nanosystems (Carbon), is particularly useful for the large‐scale molecular refinement, as for example, the putative binding candidates obtained with protein–protein docking pipelines. Implementation of Carbon with user‐friendly interface is available in the SAMSON platform for molecular modeling at https://www.samson-connect.net.
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Dates and versions

hal-02315276 , version 1 (14-10-2019)

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Petr Popov, Sergei Grudinin, Andrii Kurdiuk, Pavel Buslaev, Stephane Redon. Controlled‐advancement rigid‐body optimization of nanosystems. Journal of Computational Chemistry, 2019, 40 (27), pp.2391-2399. ⟨10.1002/jcc.26016⟩. ⟨hal-02315276⟩
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