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 …
nervous system of prey. Studies have found that these snake venom proteins have the …
[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 …
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 …
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 …
Progress and Trends in Neurological Disorders Research Based on Deep Learning
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 …
offering unprecedented opportunities for the diagnosis and treatment of neurological …
[HTML][HTML] StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
Host defense or antimicrobial peptides (AMPs) are promising candidates for protecting host
against microbial pathogens for example bacteria, virus, fungi, yeast. Defensins are the type …
against microbial pathogens for example bacteria, virus, fungi, yeast. Defensins are the type …
[HTML][HTML] Potential inhibition of SARS-CoV-2 infection and its mutation with the novel geldanamycin analogue: Ignaciomycin
The impact of novel coronavirus (SARS-CoV-2) is very high; its mutant variants provide a
higher transmission rate. Due to many mutations in the omicron-variant, it can evade …
higher transmission rate. Due to many mutations in the omicron-variant, it can evade …
Promoter Prediction in Agrobacterium tumefaciens Strain C58 by Using Artificial Intelligence Strategies
Promoters are the genomic regions upstream of genes that RNA polymerase binds in order
to initiate gene transcription. Understanding the regulation of gene expression depends on …
to initiate gene transcription. Understanding the regulation of gene expression depends on …
[HTML][HTML] Comprehensive prediction of lipocalin proteins using artificial intelligence strategy
H Zulfiqar, Z Ahmed, CY Ma, RS Khan… - Frontiers in Bioscience …, 2022 - imrpress.com
Background: Lipocalin belongs to the calcyin family, and its sequence length is generally
between 165 and 200 residues. They are mainly stable and multifunctional extracellular …
between 165 and 200 residues. They are mainly stable and multifunctional extracellular …
An Ensemble-Based Machine Learning Approach to Identify SARS-CoV-2 Virus Infection by Analyzing S Protein Sequences
R Moni, M Zahid Hasan, M Shahriar Shakil… - … Conference on Big Data …, 2023 - Springer
Abstract Coronavirus disease (COVID-19), an effect of the SARS-CoV-2 virus, is an
emerging infectious disease that infects humans due to interspecies transmission. Typically …
emerging infectious disease that infects humans due to interspecies transmission. Typically …