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Synergy of advanced machine learning and deep neural networks with consensus molecular docking for virtual screening of anaplastic lymphoma kinase inhibitors

Crossref DOI link: https://doi.org/10.1007/s10822-025-00657-6

Published Online: 2025-09-15

Published Print: 2025-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Trinh, The-Chuong https://orcid.org/0000-0002-8693-030X
Phan, Tieu-Long https://orcid.org/0000-0002-3532-2064
To, Van-Thinh https://orcid.org/0000-0002-7640-0807
Pham, Thanh-An https://orcid.org/0000-0003-0271-2696
Truong, Gia-Bao https://orcid.org/0009-0001-5379-1593
Le, Lai Hoang Son https://orcid.org/0000-0002-2473-6309
Tran, Xuan-Truc Dinh

Truong, Tuyen Ngoc https://orcid.org/0000-0002-0952-1633
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Text and Data Mining valid from 2025-09-15

Version of Record valid from 2025-09-15
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Article History

Received: 9 July 2025

Accepted: 19 August 2025

First Online: 15 September 2025

Declarations

:

: The authors declare no conflict of interest.

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