AFP-SPTS: an accurate prediction of antifreeze proteins using sequential and pseudo-tri-slicing evolutionary features with an extremely randomized tree

A Khan, J Uddin, F Ali, H Kumar… - Journal of Chemical …, 2023 - ACS Publications
The development of intracellular ice in the bodies of cold-blooded living organisms may
cause them to die. These species yield antifreeze proteins (AFPs) to live in subzero …

[HTML][HTML] Prediction of antifreeze proteins using machine learning

A Khan, J Uddin, F Ali, A Ahmad, O Alghushairy… - Scientific Reports, 2022 - nature.com
Living organisms including fishes, microbes, and animals can live in extremely cold weather.
To stay alive in cold environments, these species generate antifreeze proteins (AFPs), also …

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 …

iAFP-gap-SMOTE: an efficient feature extraction scheme gapped dipeptide composition is coupled with an oversampling technique for identification of antifreeze …

S Akbar, M Hayat, M Kabir… - Letters in Organic …, 2019 - ingentaconnect.com
Antifreeze proteins (AFPs) perform distinguishable roles in maintaining homeostatic
conditions of living organisms and protect their cell and body from freezing in extremely cold …

CryoProtect: a web server for classifying antifreeze proteins from nonantifreeze proteins

R Pratiwi, AA Malik, N Schaduangrat… - Journal of …, 2017 - Wiley Online Library
Antifreeze protein (AFP) is an ice‐binding protein that protects organisms from freezing in
extremely cold environments. AFPs are found across a diverse range of species and …

TargetFreeze: identifying antifreeze proteins via a combination of weights using sequence evolutionary information and pseudo amino acid composition

X He, K Han, J Hu, H Yan, JY Yang, HB Shen… - The Journal of membrane …, 2015 - Springer
Antifreeze proteins (AFPs) are indispensable for living organisms to survive in an extremely
cold environment and have a variety of potential biotechnological applications. The accurate …

[HTML][HTML] An effective antifreeze protein predictor with ensemble classifiers and comprehensive sequence descriptors

R Yang, C Zhang, R Gao, L Zhang - International journal of molecular …, 2015 - mdpi.com
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 …

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 …

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties

KK Kandaswamy, KC Chou, T Martinetz… - Journal of theoretical …, 2011 - Elsevier
Some creatures living in extremely low temperatures can produce some special materials
called “antifreeze proteins”(AFPs), which can prevent the cell and body fluids from freezing …

[HTML][HTML] 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 …