Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies

F Akhtar, M Belal Bin Heyat, A Sultana… - … : Data Mining and …, 2024 - Wiley Online Library
This comprehensive review article embarks on an extensive exploration of anxiety research,
navigating a multifaceted landscape that incorporates various disciplines, such as molecular …

Progress and Trends in Neurological Disorders Research Based on Deep Learning

MS Iqbal, MBB Heyat, S Parveen, MAB Hayat… - … Medical Imaging and …, 2024 - Elsevier
In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging,
offering unprecedented opportunities for the diagnosis and treatment of neurological …

PLMACPred prediction of anticancer peptides based on protein language model and wavelet denoising transformation

M Arif, S Musleh, H Fida, T Alam - Scientific Reports, 2024 - nature.com
Anticancer peptides (ACPs) perform a promising role in discovering anti-cancer drugs. The
growing research on ACPs as therapeutic agent is increasing due to its minimal side effects …

Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique

H Zulfiqar, Z Ahmed… - Frontiers in …, 2023 - frontiersin.org
Promotors are those genomic regions on the upstream of genes, which are bound by RNA
polymerase for starting gene transcription. Because it is the most critical element of gene …

A novel fusion technology utilizing complex network and sequence information for FAD-binding site identification

L Zhang, K Xiao, X Wang, L Kong - Analytical Biochemistry, 2024 - Elsevier
Flavin adenine dinucleotide (FAD) binding sites play an increasingly important role as useful
targets for inhibiting bacterial infections. To reveal protein topological structural information …

A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteins

Z Ahmed, K Shahzadi, SA Temesgen, B Ahmad… - International Journal of …, 2024 - Elsevier
Liquid-liquid phase separation (LLPS) regulates many biological processes including RNA
metabolism, chromatin rearrangement, and signal transduction. Aberrant LLPS potentially …

StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification

T Karim, MSH Shaon, MM Ali, K Ahmed… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Antimicrobial peptides (AMPs) play a vital role in the immune defence systems of various
organisms and have garnered significant attention for their potential applications in …

[PDF][PDF] NCSP-PLM: An ensemble learning framework for predicting non-classical secreted proteins based on protein language models and deep learning

T Liu, C Song, C Wang - cancer, 2023 - aimspress.com
Non-classical secreted proteins (NCSPs) refer to a group of proteins that are located in the
extracellular environment despite the absence of signal peptides and motifs. They usually …

Accurately identifying positive and negative regulation of apoptosis using fusion features and machine learning methods

CY Wu, ZX Xu, N Li, DY Qi, ZH Hao, HY Wu… - … Biology and Chemistry, 2024 - Elsevier
Apoptotic proteins play a crucial role in the apoptosis process, ensuring a balance between
cell proliferation and death. Thus, further elucidating the regulatory mechanisms of …

Computational identification of promoters in Klebsiella aerogenes by using support vector machine

Y Lin, M Sun, J Zhang, M Li, K Yang, C Wu… - Frontiers in …, 2023 - frontiersin.org
Promoters are the basic functional cis-elements to which RNA polymerase binds to initiate
the process of gene transcription. Comprehensive understanding gene expression and …