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 …
have been widely expanded. Additional protocols based on optimized network models have …
Molecular insights into regulatory RNAs in the cellular machinery
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 …
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 …
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
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 …
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
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 …
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 …
to identify genetic variants associated with neurodegenerative diseases. In the first step, the …