Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost

This improvement underscores the model's potential to enhance the field of bioinformatics, setting a new benchmark for performance.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2024-10-21
DOI
https://doi.org/10.3389/frai.2024.1446063
Citations
11
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
2.57
Controls
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article

Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost

Meshari Alazmi
11 citations
Frontiers in Artificial Intelligence
Protein Structure and Dynamics
2.57
article

Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost

Meshari Alazmi
article en
11 citations

Abstract

This improvement underscores the model's potential to enhance the field of bioinformatics, setting a new benchmark for performance.

Frontiers in Artificial IntelligenceVol. 7
University of Ha'il (SA)
Openalex Percentile: Top 10%
Protein Structure and Dynamics
2.57
DOIOpen Access PDFOpenAlex
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Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost — Meshari Alazmi · Frontiers in Artificial Intelligence (2024) | TGRS Research Map | TGRS