Progresses in predicting post-translational modification

KC Chou - International Journal of Peptide Research and …, 2020 - Springer
Identification of the sites of post-translational modifications (PTMs) in protein, RNA, and DNA
sequences is currently a very hot topic. This is because the information thus obtained is very …

Insights into Machine Learning-based approaches for Virtual Screening in Drug Discovery: Existing strategies and streamlining through FP-CADD

W Hussain, N Rasool, YD Khan - Current Drug Discovery …, 2021 - ingentaconnect.com
Background: Machine learning is an active area of research in computer science by the
availability of big data collection of all sorts prompting interest in the development of novel …

SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins

W Hussain, YD Khan, N Rasool, SA Khan… - Analytical biochemistry, 2019 - Elsevier
S-Palmitoylation is a uniquely reversible and biologically important post-translational
modification as it plays an essential role in a variety of cellular processes including signal …

SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins

W Hussain, YD Khan, N Rasool, SA Khan… - Journal of theoretical …, 2019 - Elsevier
The protein prenylation (or S-prenylation) is one of the most essential modifications,
required for the association of membrane of a plethora of signalling proteins with the key …

iPhosH-PseAAC: Identify phosphohistidine sites in proteins by blending statistical moments and position relative features according to the Chou's 5-step rule and …

M Awais, W Hussain, YD Khan… - … ACM transactions on …, 2019 - ieeexplore.ieee.org
Protein phosphorylation is one of the key mechanism in prokaryotes and eukaryotes and is
responsible for various biological functions such as protein degradation, intracellular …

Optimization of serine phosphorylation prediction in proteins by comparing human engineered features and deep representations

S Naseer, W Hussain, YD Khan, N Rasool - Analytical Biochemistry, 2021 - Elsevier
Deep representations can be used to replace human-engineered representations, as such
features are constrained by certain limitations. For the prediction of protein post-translation …

Sequence-based identification of arginine amidation sites in proteins using deep representations of proteins and PseAAC

S Naseer, W Hussain, YD Khan… - Current …, 2020 - ingentaconnect.com
Background: Among all the major post-translational modifications, amidation seems to be a
small change, where a peptide ends with an amide group (-NH 2), not a carboxyl group …

iPhosS (Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions

S Naseer, W Hussain, YD Khan… - IEEE/ACM Transactions …, 2020 - ieeexplore.ieee.org
Among all the PTMs, the protein phosphorylation is pivotal for various pathological and
physiological processes. About 30 percent of eukaryotic proteins undergo the …

ProtoPred: advancing oncological research through identification of proto-oncogene proteins

SJ Malebary, R Khan, YD Khan - IEEE Access, 2021 - ieeexplore.ieee.org
Proto-oncogenes are the genes that have the potential to transform normal cells into cancer
cells as a result of mutations. They usually contain encoding of proteins whose function is to …

Sequence-based identification of allergen proteins developed by integration of PseAAC and statistical moments via 5-step rule

YD Khan, E Alzahrani, W Alghamdi… - Current …, 2020 - ingentaconnect.com
Background: Allergens are antigens that can stimulate an atopic type I human
hypersensitivity reaction by an immunoglobulin E (IgE) reaction. Some proteins are naturally …