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Enzyme classification integrating LSTM and Prot-BERT sequence encoding

delete2025-08-19
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PRE
AI
A
Anju Sharma
V
Vineet Diwakar
P
Prabha Garg *
DOI:10.1016/j.asoc.2025.113774delete
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Abstract

Abstract

En 中文
• ECiLPSE, a novel enzyme classification tool combining Prot-BERT and BiLSTM, efficiently predicts 1991 enzyme classes with high accuracy. • Prot-BERT encoding outperforms numeric encoding by capturing intricate details for enhanced predictive accuracy. • The bidirectional LSTM model achieved accuracy (99.14 % training, 98.41 % test) by leveraging Prot-BERT for enzyme classification. • ECiLPSE is available as a web server with user-friendly interface and standalone tool, offering multiple input options for researchers.
Keywords:
ECiLPSE
Prot-BERT
BiLSTM
enzyme classification
web server

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

U
University of Missouri
Scholars:
1.1K
Papers: 580
Citations: 16