VARIDT 2.0: structural variability of drug transporter

Author:

Fu Tingting12,Li Fengcheng1,Zhang Yang3,Yin Jiayi1,Qiu Wenqi4,Li Xuedong3,Liu Xingang3,Xin Wenwen3,Wang Chengzhao3,Yu Lushan1,Gao Jianqing15,Zheng Qingchuan2,Zeng Su1,Zhu Feng16ORCID

Affiliation:

1. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China

2. Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130023, China

3. Department of Pharmacology, Hebei Medical University, Shijiazhuang 050017, China

4. Department of Surgery, HKU-SZH & Faculty of Medicine, The University of Hong Kong, Hong Kong, China

5. Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China

6. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China

Abstract

Abstract The structural variability data of drug transporter (DT) are key for research on precision medicine and rational drug use. However, these valuable data are not sufficiently covered by the available databases. In this study, a major update of VARIDT (a database previously constructed to provide DTs’ variability data) was thus described. First, the experimentally resolved structures of all DTs reported in the original VARIDT were discovered from PubMed and Protein Data Bank. Second, the structural variability data of each DT were collected by literature review, which included: (a) mutation-induced spatial variations in folded state, (b) difference among DT structures of human and model organisms, (c) outward/inward-facing DT conformations and (d) xenobiotics-driven alterations in the 3D complexes. Third, for those DTs without experimentally resolved structural variabilities, homology modeling was further applied as well-established protocol to enrich such valuable data. As a result, 145 mutation-induced spatial variations of 42 DTs, 1622 inter-species structures originating from 292 DTs, 118 outward/inward-facing conformations belonging to 59 DTs, and 822 xenobiotics-regulated structures in complex with 57 DTs were updated to VARIDT (https://idrblab.org/varidt/ and http://varidt.idrblab.net/). All in all, the newly collected structural variabilities will be indispensable for explaining drug sensitivity/selectivity, bridging preclinical research with clinical trial, revealing the mechanism underlying drug-drug interaction, and so on.

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

National High-Level Talents Special Support Plan of China

Fundamental Research Fund for the Central Universities

‘Double Top-Class’ University Project

Key R&D Program of Zhejiang Province

Westlake Laboratory

Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare

Alibaba Cloud

Information Technology Center of Zhejiang University

Publisher

Oxford University Press (OUP)

Subject

Genetics

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