Comparative analysis of the existing methods for prediction of antifreeze proteins

A Khan, J Uddin, F Ali, A Banjar, A Daud - Chemometrics and Intelligent …, 2023 - Elsevier
Antifreeze proteins (AFPs) are found in different living organisms like plants, insects, and
fish. AFPs avoid the formation of ice crystals in these organisms and make them able to …

AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information

F Ali, S Akbar, A Ghulam, ZA Maher, A Unar… - Computers in Biology …, 2021 - Elsevier
In extremely cold environments, living organisms like plants, animals, fishes, and microbes
can die due to the intracellular ice formation in their bodies. To sustain life in such cold …

[HTML][HTML] Molecular simulation-based research on antifreeze peptides: Advances and perspectives

W Jiang, F Yang, X Chen, X Cai, J Wu, M Du… - Journal of Future …, 2022 - Elsevier
Antifreeze protein (AFP) can inhibit the growth of ice crystals to protect organisms from
freezing damage, and demonstrates broad application prospects in food industry. Antifreeze …

Afp-lse: Antifreeze proteins prediction using latent space encoding of composition of k-spaced amino acid pairs

M Usman, S Khan, JA Lee - Scientific Reports, 2020 - nature.com
Species living in extremely cold environments resist the freezing conditions through
antifreeze proteins (AFPs). Apart from being essential proteins for various organisms living …

Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies

Y Pang, Z Wang, JH Jhong, TY Lee - Briefings in bioinformatics, 2021 - academic.oup.com
As the current worldwide outbreaks of the SARS-CoV-2, it is urgently needed to develop
effective therapeutic agents for inhibiting the pathogens or treating the related diseases …

PoGB-pred: prediction of antifreeze proteins sequences using amino acid composition with feature selection followed by a sequential-based ensemble approach

A Alim, A Rafay, I Naseem - Current Bioinformatics, 2021 - ingentaconnect.com
Background: Proteins contribute significantly in every task of cellular life. Their functions
encompass the building and repairing of tissues in human bodies and other organisms …

ECM-LSE: Prediction of extracellular matrix proteins using deep latent space encoding of K-spaced amino acid pairs

UM Al-Saggaf, M Usman, I Naseem… - … in Bioengineering and …, 2021 - frontiersin.org
Extracelluar matrix (ECM) proteins create complex networks of macromolecules which fill-in
the extracellular spaces of living tissues. They provide structural support and play an …

AoP-LSE: antioxidant proteins classification using deep latent space encoding of sequence features

M Usman, S Khan, S Park, JA Lee - Current Issues in Molecular Biology, 2021 - mdpi.com
It is of utmost importance to develop a computational method for accurate prediction of
antioxidants, as they play a vital role in the prevention of several diseases caused by …

Prediction of Anti‐Freezing Proteins From Their Evolutionary Profile

N Kumar, S Choudhury, N Bajiya, S Patiyal… - …, 2025 - Wiley Online Library
Prediction of antifreeze proteins (AFPs) holds significant importance due to their diverse
applications in healthcare. An inherent limitation of current AFP prediction methods is their …

Molecular evidence of intertidal habitats selecting for repeated ice-binding protein evolution in invertebrates

ICH Box, BJ Matthews… - Journal of Experimental …, 2022 - journals.biologists.com
Ice-binding proteins (IBPs) have evolved independently in multiple taxonomic groups to
improve their survival at sub-zero temperatures. Intertidal invertebrates in temperate and …