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GraphkmerDTA: integrating local sequence patterns and topological information for drug-target binding affinity prediction and applications in multi-target anti-Alzheimer’s drug discovery

Crossref DOI link: https://doi.org/10.1007/s11030-024-11065-7

Published Online: 2025-01-10

Published Print: 2025-08

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

Authors

Zhang, Zuolong

Luo, Gang

Ma, Yixuan

Wu, Zhaoqi

Peng, Shuo

Chen, Shengbo

Wu, Yi
Funding

Funding for this research was provided by:

High-level and Urgently Needed Overseas Talent Programs of Jiangxi Provience (20232BCJ25026)

National Natural Science Foundation of China (62102133, 21602090)

Kaifeng City Major Science and Technology Project (21ZD011)

Ji'an City Finance Science Fund Project (20211-085454, 20222-151746, 20222-151704)
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Text and Data Mining valid from 2025-01-10

Version of Record valid from 2025-01-10
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Article History

Received: 10 September 2024

Accepted: 22 November 2024

First Online: 10 January 2025

Declarations

:

: The authors declare no conflict of interest.

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