DLiP-PPI library: An integrated chemical database of small-to-medium-sized molecules targeting protein-protein interactions.

PMI chemical library database drug design physicochemical property protein–protein interaction (PPI) rule-of-4

Journal

Frontiers in chemistry
ISSN: 2296-2646
Titre abrégé: Front Chem
Pays: Switzerland
ID NLM: 101627988

Informations de publication

Date de publication:
2022
Historique:
received: 05 11 2022
accepted: 09 12 2022
entrez: 26 1 2023
pubmed: 27 1 2023
medline: 27 1 2023
Statut: epublish

Résumé

Protein-protein interactions (PPIs) are recognized as important targets in drug discovery. The characteristics of molecules that inhibit PPIs differ from those of small-molecule compounds. We developed a novel chemical library database system (DLiP) to design PPI inhibitors. A total of 32,647 PPI-related compounds are registered in the DLiP. It contains 15,214 newly synthesized compounds, with molecular weight ranging from 450 to 650, and 17,433 active and inactive compounds registered by extracting and integrating known compound data related to 105 PPI targets from public databases and published literature. Our analysis revealed that the compounds in this database contain unique chemical structures and have physicochemical properties suitable for binding to the protein-protein interface. In addition, advanced functions have been integrated with the web interface, which allows users to search for potential PPI inhibitor compounds based on types of protein-protein interfaces, filter results by drug-likeness indicators important for PPI targeting such as rule-of-4, and display known active and inactive compounds for each PPI target. The DLiP aids the search for new candidate molecules for PPI drug discovery and is available online (https://skb-insilico.com/dlip).

Identifiants

pubmed: 36700083
doi: 10.3389/fchem.2022.1090643
pii: 1090643
pmc: PMC9868583
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1090643

Informations de copyright

Copyright © 2023 Ikeda, Maezawa, Yonezawa, Shimizu, Tashiro, Kanai, Sugaya, Masuda, Inoue, Niimi, Masuya, Mizuguchi, Furuya and Osawa.

Déclaration de conflit d'intérêts

Author YM was employed by the company Udzuki Inc., TT was employed by the company Lifematics Co., Ltd. and SK, NS, YoM, NI, TN, KM, and TF were employed by the company PeptiDream Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Kazuyoshi Ikeda (K)

HPC-and AI-driven Drug Development Platform Division, Center for Computational Science, Yokohama, Kanagawa, Japan.
Division of Physics for Life Functions, Keio University Faculty of Pharmacy, Tokyo, Japan.

Yuta Maezawa (Y)

Udzuki Inc., Tokyo, Japan.

Tomoki Yonezawa (T)

Division of Physics for Life Functions, Keio University Faculty of Pharmacy, Tokyo, Japan.

Yugo Shimizu (Y)

Division of Physics for Life Functions, Keio University Faculty of Pharmacy, Tokyo, Japan.

Toshiyuki Tashiro (T)

Lifematics Co., Ltd., Tokyo, Japan.

Satoru Kanai (S)

PeptiDream Inc., Chiyoda-Ku, Kanagawa, Japan.

Nobuyoshi Sugaya (N)

PeptiDream Inc., Chiyoda-Ku, Kanagawa, Japan.

Yoshiaki Masuda (Y)

PeptiDream Inc., Chiyoda-Ku, Kanagawa, Japan.

Naoko Inoue (N)

PeptiDream Inc., Chiyoda-Ku, Kanagawa, Japan.

Tatsuya Niimi (T)

PeptiDream Inc., Chiyoda-Ku, Kanagawa, Japan.

Keiichi Masuya (K)

PeptiDream Inc., Chiyoda-Ku, Kanagawa, Japan.

Kenji Mizuguchi (K)

Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Institute for Protein Research, Osaka University, Osaka, Japan.

Toshio Furuya (T)

PeptiDream Inc., Chiyoda-Ku, Kanagawa, Japan.

Masanori Osawa (M)

Division of Physics for Life Functions, Keio University Faculty of Pharmacy, Tokyo, Japan.

Classifications MeSH