Computational analysis of complement inhibitor compstatin using molecular dynamics

Didier Devaurs, Dinler A. Antunes, Lydia E. Kavraki*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

The complement system plays a major role in human immunity, but its abnormal activation can have severe pathological impacts. By mimicking a natural mechanism of complement regulation, the small peptide compstatin has proven to be a very promising complement inhibitor. Over the years, several compstatin analogs have been created, with improved inhibitory potency. A recent analog is being developed as a candidate drug against several pathological conditions, including COVID-19. However, the reasons behind its higher potency and increased binding affinity to complement proteins are not fully clear. This computational study highlights the mechanistic properties of several compstatin analogs, thus complementing previous experimental studies. We perform molecular dynamics simulations involving six analogs alone in solution and two complexes with compstatin bound to complement component 3. These simulations reveal that all the analogs we consider, except the original compstatin, naturally adopt a pre-bound conformation in solution. Interestingly, this set of analogs adopting a pre-bound conformation includes analogs that were not known to benefit from this behavior. We also show that the most recent compstatin analog (among those we consider) forms a stronger hydrogen bond network with its complement receptor than an earlier analog.

Original languageEnglish
Article number231
Number of pages9
JournalJournal of Molecular Modeling
Volume26
Issue number9
Early online date12 Aug 2020
DOIs
Publication statusPublished - 12 Aug 2020
Externally publishedYes

Funding

This work was supported in part by the National Science Foundation (NSF) under Grant CCF 1423304, and by Rice University Funds. Computational simulations were run on equipment supported in part by the Data Analysis and Visualization Cyberinfrastructure funded by NSF under Grant OCI 0959097, on equipment supported by the Cyberinfrastructure for Computational Research funded by NSF under Grant CNS 0821727, as well as on equipment supported in part by the Big-Data Private-Cloud Research Cyberinfrastructure MRI-award funded by NSF under grant CNS 1338099 and by Rice University.

Keywords

  • complement inhibition
  • complement system
  • compstatin
  • molecular dynamics

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