Artificial Intelligence Revolutionizes Anti‐Infective Drug Discovery: From Target Identification to Lead Optimization

Authors

Quan Yuan (ORCID: https://orcid.org/0000-0002-3085-431X)
Ying Shi (ORCID: https://orcid.org/0009-0005-3370-384X)
Anqi Lin (ORCID: https://orcid.org/0000-0002-6324-0410)
Kexin Li (ORCID: https://orcid.org/0009-0001-7193-0534)
Chang Qi (ORCID: https://orcid.org/0009-0005-3840-550X)
Hong Yang (ORCID: https://orcid.org/0000-0002-1440-3412)
Shuofeng Yuan

Institutions

TU Wien (AT)
Hong Kong Science and Technology Parks Corporation (HK)
Zhujiang Hospital (CN)
Southern Medical University (CN)
University of Hong Kong (HK)

Publication Details

Journal: iMetaMed
Published: 2025-10-16
DOI: https://doi.org/10.1002/imm3.70011
Citations: 1
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 1.50

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article

Artificial Intelligence Revolutionizes Anti‐Infective Drug Discovery: From Target Identification to Lead Optimization

Quan Yuan, Ying Shi, Anqi Lin, Kexin Li et al.

Oct 16, 2025

1 citations

iMetaMed

Computational Drug Discovery Methods

1.50

article

Artificial Intelligence Revolutionizes Anti‐Infective Drug Discovery: From Target Identification to Lead Optimization

Quan Yuan, Ying Shi, Anqi Lin, Kexin Li, Chang Qi, Hong Yang, Shuofeng Yuan

October 16, 2025article en

1 citations

Abstract

No abstract available for this paper.

iMetaMedVol. 1(2)

TU Wien (AT), Hong Kong Science and Technology Parks Corporation (HK), Zhujiang Hospital (CN), Southern Medical University (CN), University of Hong Kong (HK)

Openalex Percentile: Top 12%

Computational Drug Discovery Methods

1.50

DOI Open Access PDF OpenAlex

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