AVP-IC50Pred: Multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50)-Reference-Cited by-同舟云学术

AVP-IC50Pred: Multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50)

Published:2015-11 Issue:6 Volume:104 Page:753-763
ISSN:0006-3525
Container-title:Biopolymers
language:en
Short-container-title:Biopolymers

Author:

Qureshi Abid¹,Tandon Himani¹,Kumar Manoj¹

Affiliation:

1. Bioinformatics Centre, Institute of Microbial Technology; Council of Scientific and Industrial Research; Sector 39-A Chandigarh 160036 India

Funder

Council of Scientific and Industrial Research, India

Department of Biotechnology, Government of India

Publisher

Wiley

Subject

Organic Chemistry,Biomaterials,Biochemistry,General Medicine,Biophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/bip.22703/fullpdf

Reference72 articles.

1. Cationic Host Defence Peptides: Potential as Antiviral Therapeutics

2. Multifaceted action of Fuzeon as virus–cell membrane fusion inhibitor

3. Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods

4. Safety and Immunogenicity of a Human Papillomavirus Peptide Vaccine (CIGB-228) in Women with High-Grade Cervical Intraepithelial Neoplasia: First-in-Human, Proof-of-Concept Trial

5. Phase I clinical study of a peptide vaccination for hepatitis C virus-infected patients with different human leukocyte antigen-class I-A alleles

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