Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design
The global pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute
respiratory syndrome coronavirus 2, has led to a dramatic loss of human life worldwide …
respiratory syndrome coronavirus 2, has led to a dramatic loss of human life worldwide …
Application of multilayer network models in bioinformatics
Y Lv, S Huang, T Zhang, B Gao - Frontiers in Genetics, 2021 - frontiersin.org
Multilayer networks provide an efficient tool for studying complex systems, and with current,
dramatic development of bioinformatics tools and accumulation of data, researchers have …
dramatic development of bioinformatics tools and accumulation of data, researchers have …
[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 …
dependent kinases to activate cell cycle. Correct recognition of cyclin proteins could provide …
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli
Abstract N4-methylcytosine (4mC) is a type of DNA modification which could regulate
several biological progressions such as transcription regulation, replication and gene …
several biological progressions such as transcription regulation, replication and gene …
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 …
immunotherapy represents the most promising treatment strategy due to its high efficacy and …
Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique
4mC is a type of DNA alteration that has the ability to synchronize multiple biological
movements, for example, DNA replication, gene expressions, and transcriptional …
movements, for example, DNA replication, gene expressions, and transcriptional …
Potential antiviral activities of chrysin against hepatitis B virus
Background Interferon and nucleos (t) ide analogues are current therapeutic treatments for
chronic Hepatitis B virus (HBV) infection with the limitations of a functional cure. Chrysin (5, 7 …
chronic Hepatitis B virus (HBV) infection with the limitations of a functional cure. Chrysin (5, 7 …
Current status and future prospects of drug–target interaction prediction
Drug–target interaction prediction is important for drug development and drug repurposing.
Many computational methods have been proposed for drug–target interaction prediction due …
Many computational methods have been proposed for drug–target interaction prediction due …
[HTML][HTML] Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
H Zulfiqar, Z Guo, BK Grace-Mercure, ZY Zhang… - Computational and …, 2023 - Elsevier
Hormone binding proteins (HBPs) belong to the group of soluble carrier proteins. These
proteins selectively and non-covalently interact with hormones and promote growth …
proteins selectively and non-covalently interact with hormones and promote growth …
[PDF][PDF] Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method
H Zulfiqar, RS Khan, F Hassan, K Hippe… - Math. Biosci …, 2021 - pdfs.semanticscholar.org
N4-methylcytosine (4mC) is a kind of DNA modification which could regulate multiple
biological processes. Correctly identifying 4mC sites in genomic sequences can provide …
biological processes. Correctly identifying 4mC sites in genomic sequences can provide …