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 …

StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency

X Fu, L Cai, X Zeng, Q Zou - Bioinformatics, 2020 - academic.oup.com
Abstract Motivation Cell-penetrating peptides (CPPs) are a vehicle for transporting into living
cells pharmacologically active molecules, such as short interfering RNAs, nanoparticles …

Proposing pseudo amino acid components is an important milestone for proteome and genome analyses

KC Chou - International Journal of Peptide Research and …, 2020 - Springer
In this minireview paper it has been elucidated that the proposal of pseudo amino acid
components represents a very important milestone for the disciplines of proteome and …

StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach

M Arif, S Ahmed, F Ge, M Kabir, YD Khan, DJ Yu… - Chemometrics and …, 2022 - Elsevier
Anticancer peptides (ACPs) have been emerged as a potential safe therapeutic agent for
treating cancer. Identifying novel ACPs is crucial for understanding deep insight their …

AIPs-DeepEnC-GA: Predicting anti-inflammatory peptides using embedded evolutionary and sequential feature integration with genetic algorithm based deep …

A Raza, J Uddin, Q Zou, S Akbar, W Alghamdi… - … and Intelligent Laboratory …, 2024 - Elsevier
Inflammation is a biological response to harmful stimuli including infections, damaged cells,
tissue injuries, and toxic chemicals. It plays an essential role in facilitating tissue repair by …

StackPDB: predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier

Q Zhang, P Liu, X Wang, Y Zhang, Y Han, B Yu - Applied Soft Computing, 2021 - Elsevier
DNA-binding proteins (DBPs) not only play an important role in all aspects of genetic
activities such as DNA replication, recombination, repair, and modification but also are used …

SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning

X Zhang, L Wei, X Ye, K Zhang, S Teng… - Briefings in …, 2023 - academic.oup.com
Abstract Background Cell-penetrating peptides (CPPs) have received considerable attention
as a means of transporting pharmacologically active molecules into living cells without …

PLMACPred prediction of anticancer peptides based on protein language model and wavelet denoising transformation

M Arif, S Musleh, H Fida, T Alam - Scientific Reports, 2024 - nature.com
Anticancer peptides (ACPs) perform a promising role in discovering anti-cancer drugs. The
growing research on ACPs as therapeutic agent is increasing due to its minimal side effects …

pLoc_bal-mVirus: predict subcellular localization of multi-label virus proteins by Chou's general PseAAC and IHTS treatment to balance training dataset

X Xiao, X Cheng, G Chen, QI Mao… - Medicinal …, 2019 - ingentaconnect.com
Background/Objective: Knowledge of protein subcellular localization is vitally important for
both basic research and drug development. Facing the avalanche of protein sequences …

pLoc_bal-mEuk: predict subcellular localization of eukaryotic proteins by general PseAAC and quasi-balancing training dataset

KC Chou, X Cheng, X Xiao - Medicinal Chemistry, 2019 - ingentaconnect.com
Background/Objective: Information of protein subcellular localization is crucially important for
both basic research and drug development. With the explosive growth of protein sequences …