Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design

H Lv, L Shi, JW Berkenpas, FY Dao… - Briefings in …, 2021 - academic.oup.com
The global pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute
respiratory syndrome coronavirus 2, has led to a dramatic loss of human life worldwide …

Explainable artificial intelligence for omics data: a systematic map** study

PA Toussaint, F Leiser, S Thiebes… - Briefings in …, 2024 - academic.oup.com
Researchers increasingly turn to explainable artificial intelligence (XAI) to analyze omics
data and gain insights into the underlying biological processes. Yet, given the …

A rapid selection strategy for umami peptide screening based on machine learning and molecular docking

C Li, Y Hua, D Pan, L Qi, C **ao, Y **ong, W Lu… - Food Chemistry, 2023 - Elsevier
Umami peptides have been the focus of umami studies in recent years because of their high
nutritional value and flavor activity. However, the existing screening methods of umami …

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction

S Basith, G Lee, B Manavalan - Briefings in bioinformatics, 2022 - academic.oup.com
Protein post-translational modification (PTM) is an important regulatory mechanism that
plays a key role in both normal and disease states. Acetylation on lysine residues is one of …

UMPred-FRL: A new approach for accurate prediction of umami peptides using feature representation learning

P Charoenkwan, C Nantasenamat, MM Hasan… - International journal of …, 2021 - mdpi.com
Umami ingredients have been identified as important factors in food seasoning and
production. Traditional experimental methods for characterizing peptides exhibiting umami …

TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model

K Yan, H Lv, Y Guo, Y Chen, H Wu, B Liu - Bioinformatics, 2022 - academic.oup.com
Motivation Therapeutic peptide prediction is important for the discovery of efficient
therapeutic peptides and drug development. Researchers have developed several …

Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction

W Shoombuatong, N Homdee, N Schaduangrat… - Scientific Reports, 2024 - nature.com
The voltage-gated sodium (Nav) channel is a crucial molecular component responsible for
initiating and propagating action potentials. While the α subunit, forming the channel pore …

An effective integrated machine learning framework for identifying severity of tomato yellow leaf curl virus and their experimental validation

N Bupi, VK Sangaraju, LT Phan, A Lal, TTB Vo, PT Ho… - Research, 2023 - spj.science.org
Tomato yellow leaf curl virus (TYLCV) dispersed across different countries, specifically to
subtropical regions, associated with more severe symptoms. Since TYLCV was first isolated …

TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization

YJ Jeon, MM Hasan, HW Park, KW Lee… - Briefings in …, 2022 - academic.oup.com
Long noncoding RNAs (lncRNAs) are primarily regulated by their cellular localization, which
is responsible for their molecular functions, including cell cycle regulation and genome …

Identifying neuropeptides via evolutionary and sequential based multi-perspective descriptors by incorporation with ensemble classification strategy

S Akbar, HG Mohamed, H Ali, A Saeed, AA Khan… - IEEE …, 2023 - ieeexplore.ieee.org
Neuropeptides (NPs) are a kind of neuromodulator/neurotransmitter that works as signaling
molecules in the central nervous system, and perform major roles in physiological and …