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Accurate ligand–protein docking in CASP15 using the ClusPro LigTBM server

  • Sergei Kotelnikov
  • , Ryota Ashizawa
  • , Konstantin I. Popov
  • , Omeir Khan
  • , Mikhail Ignatov
  • , Stan Xiaogang Li
  • , Mosavverul Hassan
  • , Evangelos A. Coutsias
  • , Gennady Poda
  • , Dzmitry Padhorny
  • , Alexander Tropsha
  • , Sandor Vajda
  • , Dima Kozakov

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In the ligand prediction category of CASP15, the challenge was to predict the positions and conformations of small molecules binding to proteins that were provided as amino acid sequences or as models generated by the AlphaFold2 program. For most targets, we used our template-based ligand docking program ClusPro ligTBM, also implemented as a public server available at https://ligtbm.cluspro.org/. Since many targets had multiple chains and a number of ligands, several templates, and some manual interventions were required. In a few cases, no templates were found, and we had to use direct docking using the Glide program. Nevertheless, ligTBM was shown to be a very useful tool, and by any ranking criteria, our group was ranked among the top five best-performing teams. In fact, all the best groups used template-based docking methods. Thus, it appears that the AlphaFold2-generated models, despite the high accuracy of the predicted backbone, have local differences from the x-ray structure that make the use of direct docking methods more challenging. The results of CASP15 confirm that this limitation can be frequently overcome by homology-based docking.

Original languageEnglish
Pages (from-to)1822-1828
Number of pages7
JournalProteins: Structure, Function and Bioinformatics
Volume91
Issue number12
DOIs
StatePublished - Dec 2023

Keywords

  • AlphaFold2 models
  • BRIKARD macrocycle modeling
  • ClusPro docking program
  • FTMap protein mapping
  • template-based ligand docking

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