The roles of optogenetics and technology in neurobiology: a review

W Chen, C Li, W Liang, Y Li, Z Zou, Y Xie… - Frontiers in Aging …, 2022 - frontiersin.org
Optogenetic is a technique that combines optics and genetics to control specific neurons.
This technique usually uses adenoviruses that encode photosensitive protein. The …

[HTML][HTML] Digitally enabled approaches for the scale up of mammalian cell bioreactors

MK Alavijeh, I Baker, YY Lee, SL Gras - Digital Chemical Engineering, 2022 - Elsevier
With recent advances in digitisation and big data analytics, more pharmaceutical firms are
adopting digital tools to achieve modernisation. The biological phenomena within …

A first computational frame for recognizing heparin-binding protein

W Zhu, SS Yuan, J Li, CB Huang, H Lin, B Liao - Diagnostics, 2023 - mdpi.com
Heparin-binding protein (HBP) is a cationic antibacterial protein derived from multinuclear
neutrophils and an important biomarker of infectious diseases. The correct identification of …

A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID‐19 Cases from Chest X‐Ray Images

H Nasiri, SA Alavi - Computational intelligence and …, 2022 - Wiley Online Library
Background and Objective. The new coronavirus disease (known as COVID‐19) was first
identified in Wuhan and quickly spread worldwide, wreaking havoc on the economy and …

Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings

H Zulfiqar, Z Guo, RM Ahmad, Z Ahmed, P Cai… - Frontiers in …, 2024 - frontiersin.org
Snake venom contains many toxic proteins that can destroy the circulatory system or
nervous system of prey. Studies have found that these snake venom proteins have the …

NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences

C Ao, Q Zou, L Yu - Briefings in bioinformatics, 2022 - academic.oup.com
O-methylation (Nm) is a post-transcriptional modification of RNA that is catalyzed by 2'-O-
methyltransferase and involves replacing the H on the 2′-hydroxyl group with a methyl …

Cellenboost: a boosting-based ligand-receptor interaction identification model for cell-to-cell communication inference

L Peng, R Yuan, C Han, G Han, J Tan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Cell-to-cell communication (CCC) plays important roles in multicellular organisms. The
identification of communication between cancer cells themselves and one between cancer …

[HTML][HTML] Identification of cyclin protein using gradient boost decision tree algorithm

H Zulfiqar, SS Yuan, QL Huang, ZJ Sun, FY Dao… - Computational and …, 2021 - Elsevier
Cyclin proteins are capable to regulate the cell cycle by forming a complex with cyclin-
dependent kinases to activate cell cycle. Correct recognition of cyclin proteins could provide …

iTTCA-RF: a random forest predictor for tumor T cell antigens

S Jiao, Q Zou, H Guo, L Shi - Journal of translational medicine, 2021 - Springer
Background Cancer is one of the most serious diseases threatening human health. Cancer
immunotherapy represents the most promising treatment strategy due to its high efficacy and …

iThermo: a sequence-based model for identifying thermophilic proteins using a multi-feature fusion strategy

Z Ahmed, H Zulfiqar, AA Khan, I Gul, FY Dao… - Frontiers in …, 2022 - frontiersin.org
Thermophilic proteins have important application value in biotechnology and industrial
processes. The correct identification of thermophilic proteins provides important information …