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Comparative analysis of the existing methods for prediction of antifreeze proteins
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 …
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
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 …
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 …
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
Species living in extremely cold environments resist the freezing conditions through
antifreeze proteins (AFPs). Apart from being essential proteins for various organisms living …
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
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 …
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
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 …
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
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 …
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
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 …
antioxidants, as they play a vital role in the prevention of several diseases caused by …
Prediction of Anti‐Freezing Proteins From Their Evolutionary Profile
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 …
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
Ice-binding proteins (IBPs) have evolved independently in multiple taxonomic groups to
improve their survival at sub-zero temperatures. Intertidal invertebrates in temperate and …
improve their survival at sub-zero temperatures. Intertidal invertebrates in temperate and …