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 …

[HTML][HTML] User-friendly and industry-integrated AI for medicinal chemists and pharmaceuticals

O Kapustina, P Burmakina, N Gubina, N Serov… - Artificial Intelligence …, 2024 - Elsevier
Artificial intelligence has brought crucial changes to the whole field of natural sciences.
Myriads of machine learning algorithms have been developed to facilitate the work of …

Evaluating machine learning methodologies for identification of cancer driver genes

SJ Malebary, YD Khan - Scientific reports, 2021 - nature.com
Cancer is driven by distinctive sorts of changes and basic variations in genes. Recognizing
cancer driver genes is basic for accurate oncological analysis. Numerous methodologies to …

iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions

S Naseer, RF Ali, YD Khan… - Journal of Biomolecular …, 2022 - Taylor & Francis
Lysine glutarylation is a post-translation modification which plays an important regulatory
role in a variety of physiological and enzymatic processes including mitochondrial functions …

NPalmitoylDeep-PseAAC: A predictor of N-palmitoylation sites in proteins using deep representations of proteins and PseAAC via modified 5-steps rule

S Naseer, W Hussain, YD Khan… - Current …, 2021 - ingentaconnect.com
Background: Among all the major Post-translational modification, lipid modifications possess
special significance due to their widespread functional importance in eukaryotic cells. There …

iTSP-PseAAC: identifying tumor suppressor proteins by using fully connected neural network and PseAAC

M Awais, W Hussain, N Rasool… - Current …, 2021 - ingentaconnect.com
Background: The uncontrolled growth due to accumulation of genetic and epigenetic
changes as a result of loss or reduction in the normal function of Tumor Suppressor Genes …

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 …

[HTML][HTML] iQSP: a sequence-based tool for the prediction and analysis of quorum sensing peptides via Chou's 5-steps rule and informative physicochemical properties

P Charoenkwan, N Schaduangrat… - … Journal of Molecular …, 2020 - ncbi.nlm.nih.gov
Understanding of quorum-sensing peptides (QSPs) in their functional mechanism plays an
essential role in finding new opportunities to combat bacterial infections by designing drugs …