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SiteMine: Large-scale binding site similarity searching in protein structure databases.
Reim, Thorben; Ehrt, Christiane; Graef, Joel; Günther, Sebastian; Meents, Alke; Rarey, Matthias.
Affiliation
  • Reim T; ZBH - Center for Bioinformatics, Universität Hamburg, Hamburg, Germany.
  • Ehrt C; ZBH - Center for Bioinformatics, Universität Hamburg, Hamburg, Germany.
  • Graef J; ZBH - Center for Bioinformatics, Universität Hamburg, Hamburg, Germany.
  • Günther S; Center for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany.
  • Meents A; Center for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany.
  • Rarey M; ZBH - Center for Bioinformatics, Universität Hamburg, Hamburg, Germany.
Arch Pharm (Weinheim) ; 357(5): e2300661, 2024 May.
Article in En | MEDLINE | ID: mdl-38335311
ABSTRACT
Drug discovery and design challenges, such as drug repurposing, analyzing protein-ligand and protein-protein complexes, ligand promiscuity studies, or function prediction, can be addressed by protein binding site similarity analysis. Although numerous tools exist, they all have individual strengths and drawbacks with regard to run time, provision of structure superpositions, and applicability to diverse application domains. Here, we introduce SiteMine, an all-in-one database-driven, alignment-providing binding site similarity search tool to tackle the most pressing challenges of binding site comparison. The performance of SiteMine is evaluated on the ProSPECCTs benchmark, showing a promising performance on most of the data sets. The method performs convincingly regarding all quality criteria for reliable binding site comparison, offering a novel state-of-the-art approach for structure-based molecular design based on binding site comparisons. In a SiteMine showcase, we discuss the high structural similarity between cathepsin L and calpain 1 binding sites and give an outlook on the impact of this finding on structure-based drug design. SiteMine is available at https//uhh.de/naomi.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Databases, Protein Type of study: Prognostic_studies Limits: Humans Language: En Journal: Arch Pharm (Weinheim) Year: 2024 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Databases, Protein Type of study: Prognostic_studies Limits: Humans Language: En Journal: Arch Pharm (Weinheim) Year: 2024 Document type: Article Affiliation country: Germany