In Silico Approach for Prediction of Antifungal Peptides.
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Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues.In silico approaches for predicting the half-life of natural and modified peptides in blood.Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid FeaturesPrediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure
P2860
In Silico Approach for Prediction of Antifungal Peptides.
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2018 nî lūn-bûn
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2018年の論文
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2018年学术文章
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name
In Silico Approach for Prediction of Antifungal Peptides.
@en
In Silico Approach for Prediction of Antifungal Peptides.
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type
label
In Silico Approach for Prediction of Antifungal Peptides.
@en
In Silico Approach for Prediction of Antifungal Peptides.
@nl
prefLabel
In Silico Approach for Prediction of Antifungal Peptides.
@en
In Silico Approach for Prediction of Antifungal Peptides.
@nl
P2093
P2860
P356
P1476
In Silico Approach for Prediction of Antifungal Peptides
@en
P2093
Meenu Sharma
Piyush Agrawal
Rajesh Kumar
Sherry Bhalla
P2860
P356
10.3389/FMICB.2018.00323
P577
2018-02-26T00:00:00Z