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AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches
Yuxuan Pang
, Lantian Yao
, Jhih Hua Jhong
, Zhuo Wang
*
,
Tzong Yi Lee
*
*
此作品的通信作者
生物資訊及系統生物研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Machine Learning Approach
100%
Peptide-based
100%
Functional Prediction
100%
Antiviral Peptides
100%
Virus
40%
Antiviral Activity
40%
Virus Families
40%
Herpes Simplex Virus Type 1 (HSV-1)
20%
Classification Scheme
20%
Computational Biology
20%
Shapley Value
20%
Antivirus Software
20%
Novel Therapeutics
20%
Orthomyxoviridae
20%
Evaluation Performance
20%
Functional Activity
20%
Virus Infection
20%
Antimicrobial Peptides
20%
Stage Classification
20%
Flaviviridae
20%
Machine Learning Strategies
20%
Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)
20%
Double Stage
20%
Computer-aided Methods
20%
Herpesviridae
20%
Imbalanced Learning
20%
Peptide Properties
20%
Retroviridae
20%
Machine Learning Prediction
20%
Non-antimicrobial Peptides
20%
Paramyxoviridae
20%
Coronaviridae
20%
Explainable Machine Learning
20%
HPIV3
20%
Multiple Descriptors
20%
Peptide Target
20%
Pharmacology, Toxicology and Pharmaceutical Science
Antivirus Agent
100%
Peptide
100%
Virus
37%
Polypeptide Antibiotic Agent
25%
Human Alphaherpesvirus 1
12%
Virus Infection
12%
Adenosine Phosphate
12%
HIV
12%
Flaviviridae
12%
Antiviral Activity
12%
SARS Coronavirus
12%
Herpesviridae
12%
Coronaviridae
12%
Retrovirus
12%
Orthomyxoviridae
12%
Feline Immunodeficiency Virus
12%
Paramyxoviridae
12%