Artificial intelligence aided lipase production and engineering for enzymatic performance improvement

F Ge, G Chen, M Qian, C Xu, J Liu, J Cao… - Journal of Agricultural …, 2023 - ACS Publications
With the development of artificial intelligence (AI), tailoring methods for enzyme engineering
have been widely expanded. Additional protocols based on optimized network models have …

Molecular insights into regulatory RNAs in the cellular machinery

S Yang, SH Kim, E Yang, M Kang, JY Joo - Experimental & Molecular …, 2024 - nature.com
It is apparent that various functional units within the cellular machinery are derived from
RNAs. The evolution of sequencing techniques has resulted in significant insights into …

Boosting of tau protein aggregation by CD40 and CD48 gene expression in Alzheimer's disease

SH Kim, KH Lim, S Yang, JY Joo - The FASEB Journal, 2023 - Wiley Online Library
Neurodegenerative diseases result from the interplay of abnormal gene expression and
various pathological factors. Therefore, a disease‐specific integrative genetic approach is …

Cryptic mutations of PLC family members in brain disorders: recent discoveries and a deep-learning-based approach

KH Lim, S Yang, SH Kim, E Ko, M Kang, JY Joo - Brain, 2023 - academic.oup.com
Phospholipase C (PLC) is an essential isozyme involved in the phosphoinositide signalling
pathway, which maintains cellular homeostasis. Gain-and loss-of-function mutations in PLC …

Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges

S Yang, SH Kim, M Kang, JY Joo - Archives of Pharmacal Research, 2023 - Springer
The relevant study of transcriptome-wide variations and neurological disorders in the
evolved field of genomic data science is on the rise. Deep learning has been highlighted …

Identification of neurodegenerative disease using genomic data using deep learning algorithms

A Adgaonkar, BN Lakshmi, VJ Kumar… - Challenges in …, 2025 - taylorfrancis.com
This research introduces a novel three-step approach employing deep learning algorithms
to identify genetic variants associated with neurodegenerative diseases. In the first step, the …