AIMC Topic: Antifreeze Proteins

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Improving Antifreeze Proteins Prediction With Protein Language Models and Hybrid Feature Extraction Networks.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Accurate identification of antifreeze proteins (AFPs) is crucial in developing biomimetic synthetic anti-icing materials and low-temperature organ preservation materials. Although numerous machine learning-based methods have been proposed for AFPs pr...
Antifreeze Proteins Sequence Analysis, Protein Deep Learning Databases, Protein Neural Networks, Computer Algorithms Computational Biology
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VotePLMs-AFP: Identification of antifreeze proteins using transformer-embedding features and ensemble learning.

Biochimica et biophysica acta. General subjects Oct 18, 2024
Antifreeze proteins (AFPs) are a unique class of biomolecules capable of protecting other proteins, cell membranes, and cellular structures within organisms from damage caused by freezing conditions. Given the significance of AFPs in various domains ...
Machine Learning Databases, Protein Antifreeze Proteins Computational Biology Algorithms
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Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensemble.

BMC bioinformatics Jun 23, 2021
BACKGROUND: Antifreeze proteins (AFPs) are a group of proteins that inhibit body fluids from growing to ice crystals and thus improve biological antifreeze ability. It is vital to the survival of living organisms in extremely cold environments. Howev...
Reproducibility of Results Support Vector Machine Algorithms Antifreeze Proteins Dipeptides
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AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs.

Scientific reports Apr 28, 2020
Species living in extremely cold environments resist the freezing conditions through antifreeze proteins (AFPs). Apart from being essential proteins for various organisms living in sub-zero temperatures, AFPs have numerous applications in different i...
Fishes Fish Proteins Amino Acid Sequence Antifreeze Proteins Machine Learning Computational Biology Animals
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Combined molecular dynamics and neural network method for predicting protein antifreeze activity.

Proceedings of the National Academy of Sciences of the United States of America Dec 7, 2018
Antifreeze proteins (AFPs) are a diverse class of proteins that depress the kinetically observable freezing point of water. AFPs have been of scientific interest for decades, but the lack of an accurate model for predicting AFP activity has hindered ...
Thermodynamics Antifreeze Proteins Protein Conformation Humans Molecular Dynamics Simulation Kinetics Temperature Freezing Neural Networks, Computer Animals Water Crystallization Models, Theoretical
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RAFP-Pred: Robust Prediction of Antifreeze Proteins Using Localized Analysis of n-Peptide Compositions.

IEEE/ACM transactions on computational biology and bioinformatics Oct 13, 2016
In extreme cold weather, living organisms produce Antifreeze Proteins (AFPs) to counter the otherwise lethal intracellular formation of ice. Structures and sequences of various AFPs exhibit a high degree of heterogeneity, consequently the prediction ...
Sequence Analysis, Protein Antifreeze Proteins Dipeptides Machine Learning Computational Biology ROC Curve Algorithms Databases, Protein
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An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors.

International journal of molecular sciences Sep 7, 2015
Antifreeze proteins (AFPs) play a pivotal role in the antifreeze effect of overwintering organisms. They have a wide range of applications in numerous fields, such as improving the production of crops and the quality of frozen foods. Accurate identif...
Antifreeze Proteins Support Vector Machine Web Browser Analysis of Variance Reproducibility of Results Algorithms Computational Biology Internet
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