DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit

For ensuring the effectual prediction results of the DTIP-WINDGRU model, a widespread experimentation process was carried out using four datasets. This comprehensive comparative study highlighted the better performance of the DTIP-WINDGRU model over existing techniques.

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Publication Details

Journal
BMC Bioinformatics
Published
2025-07-20
DOI
https://doi.org/10.1186/s12859-025-06141-0
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit

Kavipriya Gananathan, Vijayan Sugumaran, D. Manjula
BMC Bioinformatics
Computational Drug Discovery Methods
article

DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit

Kavipriya Gananathan, Vijayan Sugumaran, D. Manjula
article en

Abstract

For ensuring the effectual prediction results of the DTIP-WINDGRU model, a widespread experimentation process was carried out using four datasets. This comprehensive comparative study highlighted the better performance of the DTIP-WINDGRU model over existing techniques.

BMC BioinformaticsVol. 26(1)
Oakland University (US), Vellore Institute of Technology University (IN)
Vellore Institute of Technology, Chennai, VIT University
Openalex Percentile: Top 81%
Computational Drug Discovery Methods
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