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Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design
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 …
respiratory syndrome coronavirus 2, has led to a dramatic loss of human life worldwide …
Explainable artificial intelligence for omics data: a systematic map** study
Researchers increasingly turn to explainable artificial intelligence (XAI) to analyze omics
data and gain insights into the underlying biological processes. Yet, given the …
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 …
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
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 …
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
Umami ingredients have been identified as important factors in food seasoning and
production. Traditional experimental methods for characterizing peptides exhibiting umami …
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 …
therapeutic peptides and drug development. Researchers have developed several …
Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction
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 …
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
Tomato yellow leaf curl virus (TYLCV) dispersed across different countries, specifically to
subtropical regions, associated with more severe symptoms. Since TYLCV was first isolated …
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
Long noncoding RNAs (lncRNAs) are primarily regulated by their cellular localization, which
is responsible for their molecular functions, including cell cycle regulation and genome …
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
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 …
molecules in the central nervous system, and perform major roles in physiological and …