Decoding the Knacks of Ellagitannin Lead Compounds to Treat Nonalcoholic Fatty Liver Disease using Computer-aided Drug Designing

Overall, ellagitannin was identified as the best druggable target with the best therapeutics profile. The findings of our study can pave the way for the development of a new drug against NALFD.

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Publication Details

Journal
Current Computer - Aided Drug Design
Published
2024-10-08
DOI
https://doi.org/10.2174/0115734099325555240927054614
Citations
1
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.39

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article

Decoding the Knacks of Ellagitannin Lead Compounds to Treat Nonalcoholic Fatty Liver Disease using Computer-aided Drug Designing

Zhanyou Chi, Wadi B. Alonazi, Hina J Shahid, Muhammad Ibrahim
1 citations
Current Computer - Aided Drug Design
Liver Disease Diagnosis and Treatment
0.39
article

Decoding the Knacks of Ellagitannin Lead Compounds to Treat Nonalcoholic Fatty Liver Disease using Computer-aided Drug Designing

Zhanyou Chi, Wadi B. Alonazi, Hina J Shahid, Muhammad Ibrahim
article en
1 citations

Abstract

Overall, ellagitannin was identified as the best druggable target with the best therapeutics profile. The findings of our study can pave the way for the development of a new drug against NALFD.

Current Computer - Aided Drug DesignVol. 21(8)
Dalian University of Technology (CN), King Saud University (SA), Dalian University (CN), China National Rice Research Institute (CN), University of Business and Technology (SA), State Key Laboratory of Rice Biology, Zhejiang University (CN)
King Saud University
Partnerships for the goals
Openalex Percentile: Top 33%
Liver Disease Diagnosis and Treatment
0.39
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Decoding the Knacks of Ellagitannin Lead Compounds to Treat Nonalcoholic Fatty Liver Disease using Computer-aided Drug Designing — Zhanyou Chi, Wadi B. Alonazi, et al. · Current Computer - Aided Drug Design (2024) | TGRS Research Map | TGRS