Optimization in Protein Structure and Function Prediction of Silk of Tasar Silkworm, Antheraea mylitta Drury
Ananda Rukmini, Priti Pragyan Ray, Purushottam Dash
Asian Journal of Biotechnology and Bioresource Technology · pp. 106–118 · Published 2 Aug 2025
10.9734/ajb2t/2025/v11i3247Abstract
Protein structure and function prediction is an arduous task in computational biology. Understanding the structure of protein facilitates in understanding its function. The Tasar silkworm, Antheraea mylitta Drury, is a vital species in sericulture, producing high-quality silk fibres with unique properties. Beyond its economic significance, the Tasar silkworm is a model organism for studying insect biology, development, and evolution. Despite recent advances in genomics and proteomics, which have enabled the exploration of the Tasar silkworm proteome, there still exist hitches in the atomic accuracy of its protein structure prediction in the era of deep learning. Here, we endeavour to bridge the existing knowledge gap of algorithmic modelling techniques, especially deep neural networks in protein prediction methods of this valuable lepidopteran, leading to a better understanding of its biological processes and potential applications.
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