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-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 …

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 …

A fractional gradient descent-based rbf neural network

S Khan, I Naseem, MA Malik, R Togneri… - Circuits, Systems, and …, 2018 - Springer
In this research, we propose a novel fractional gradient descent-based learning algorithm
(FGD) for the radial basis function neural networks (RBF-NN). The proposed FGD is the …

iMPTCE‐Hnetwork: A Multilabel Classifier for Identifying Metabolic Pathway Types of Chemicals and Enzymes with a Heterogeneous Network

Y Zhu, B Hu, L Chen, Q Dai - Computational and Mathematical …, 2021 - Wiley Online Library
Metabolic pathway is an important type of biological pathways. It produces essential
molecules and energies to maintain the life of living organisms. Each metabolic pathway …

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 …

[HTML][HTML] Classification of widely and rarely expressed genes with recurrent neural network

L Chen, XY Pan, YH Zhang, M Liu, T Huang… - Computational and …, 2019 - Elsevier
A tissue-specific gene expression shapes the formation of tissues, while gene expression
changes reflect the immune response of the human body to environmental stimulations or …

Identification of human protein subcellular location with multiple networks

R Wang, L Chen - Current Proteomics, 2022 - ingentaconnect.com
Background: Protein function is closely related to its location within the cell. Determination of
protein subcellular location is helpful in uncovering its functions. However, traditional …

Anticancer peptides classification using kernel sparse representation classifier

E Fazal, MS Ibrahim, S Park, I Naseem… - IEEE Access, 2023 - ieeexplore.ieee.org
Cancer is one of the most challenging diseases because of its complexity, variability, and
diversity of causes. It has been one of the major research topics over the past decades, yet it …

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 …