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Discovery of a Hidden Trypanosoma cruzi Spermidine Synthase Binding Site and Inhibitors through In Silico, In Vitro, and X-ray Crystallography.
Yoshino, Ryunosuke; Yasuo, Nobuaki; Hagiwara, Yohsuke; Ishida, Takashi; Inaoka, Daniel Ken; Amano, Yasushi; Tateishi, Yukihiro; Ohno, Kazuki; Namatame, Ichiji; Niimi, Tatsuya; Orita, Masaya; Kita, Kiyoshi; Akiyama, Yutaka; Sekijima, Masakazu.
Afiliação
  • Yoshino R; Transborder Medical Research Center, University of Tsukuba, Tsukuba 305-8577, Japan.
  • Yasuo N; Education Academy of Computational Life Sciences (ACLS), Tokyo Institute of Technology, Yokohama 226-8501, Japan.
  • Hagiwara Y; Tokyo Tech Academy for Convergence of Materials and Informatics (TAC-MI), Tokyo Institute of Technology, Meguro, Tokyo 152-8550, Japan.
  • Ishida T; Education Academy of Computational Life Sciences (ACLS), Tokyo Institute of Technology, Yokohama 226-8501, Japan.
  • Inaoka DK; Medicinal Chemistry Research Labs, Drug Discovery Research, Astellas Pharma Inc, Miyukigaoka, Tsukuba 305-8585, Japan.
  • Amano Y; School of Computing, Tokyo Institute of Technology, Tokyo 152-8550, Japan.
  • Tateishi Y; School of Tropical Medicine and Global Health, Nagasaki University, Sakamoto, Nagasaki 852-8523, Japan.
  • Ohno K; Department of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.
  • Namatame I; Medicinal Chemistry Research Labs, Drug Discovery Research, Astellas Pharma Inc, Miyukigaoka, Tsukuba 305-8585, Japan.
  • Niimi T; Medicinal Chemistry Research Labs, Drug Discovery Research, Astellas Pharma Inc, Miyukigaoka, Tsukuba 305-8585, Japan.
  • Orita M; Education Academy of Computational Life Sciences (ACLS), Tokyo Institute of Technology, Yokohama 226-8501, Japan.
  • Kita K; Medicinal Chemistry Research Labs, Drug Discovery Research, Astellas Pharma Inc, Miyukigaoka, Tsukuba 305-8585, Japan.
  • Akiyama Y; Medicinal Chemistry Research Labs, Drug Discovery Research, Astellas Pharma Inc, Miyukigaoka, Tsukuba 305-8585, Japan.
  • Sekijima M; Medicinal Chemistry Research Labs, Drug Discovery Research, Astellas Pharma Inc, Miyukigaoka, Tsukuba 305-8585, Japan.
ACS Omega ; 8(29): 25850-25860, 2023 Jul 25.
Article em En | MEDLINE | ID: mdl-37521650
ABSTRACT
In drug discovery research, the selection of promising binding sites and understanding the binding mode of compounds are crucial fundamental studies. The current understanding of the proteins-ligand binding model extends beyond the simple lock and key model to include the induced-fit model, which alters the conformation to match the shape of the ligand, and the pre-existing equilibrium model, selectively binding structures with high binding affinity from a diverse ensemble of proteins. Although methods for detecting target protein binding sites and virtual screening techniques using docking simulation are well-established, with numerous studies reported, they only consider a very limited number of structures in the diverse ensemble of proteins, as these methods are applied to a single structure. Molecular dynamics (MD) simulation is a method for predicting protein dynamics and can detect potential ensembles of protein binding sites and hidden sites unobservable in a single-point structure. In this study, to demonstrate the utility of virtual screening with protein dynamics, MD simulations were performed on Trypanosoma cruzi spermidine synthase to obtain an ensemble of dominant binding sites with a high probability of existence. The structure of the binding site obtained through MD simulation revealed pockets in addition to the active site that was present in the initial structure. Using the obtained binding site structures, virtual screening of 4.8 million compounds by docking simulation, in vitro assays, and X-ray analysis was conducted, successfully identifying two hit compounds.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão