Bioinformatics tool in Identification of the Structural and Functional Impact Of ACE Isoform 1 precursor gene.

In conclusion, new information about the complexities of diabetic nephropathy may be revealed by combining in silico analysis with wet laboratory research. For those who are at risk of diabetic nephropathy, customized medicine techniques and targeted medicines may become possible if the predictions made by bioinformatics tools match the results of experiments.

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Publication Details

Journal
PubMed
Published
2025-06-17
DOI
https://doi.org/10.7417/ct.2025.5229
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
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article

Bioinformatics tool in Identification of the Structural and Functional Impact Of ACE Isoform 1 precursor gene.

Aniket Shetty, Usha Adiga, Dinker Pai, L. Krishna et al.
PubMed
Machine Learning in Bioinformatics
article

Bioinformatics tool in Identification of the Structural and Functional Impact Of ACE Isoform 1 precursor gene.

Aniket Shetty, Usha Adiga, Dinker Pai, L. Krishna, Shalini Adiga, D Chaitra
article en

Abstract

In conclusion, new information about the complexities of diabetic nephropathy may be revealed by combining in silico analysis with wet laboratory research. For those who are at risk of diabetic nephropathy, customized medicine techniques and targeted medicines may become possible if the predictions made by bioinformatics tools match the results of experiments.

PubMedVol. 176(3)
Manipal Academy of Higher Education (IN), Manipal University College Malaysia (MY), Kasturba Medical College, Manipal (IN)
Openalex Percentile: Top 87%
Machine Learning in Bioinformatics
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