Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC. (Q30838333)

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English	Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC.	scientific article

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scholarly article

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2 April 2020

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC (English)

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2 April 2020

antimicrobial peptide

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based on heuristic

inferred from title

Atmakuri Ramakrishna Rao

4

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2 April 2020

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Prabina Kumar Meher

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2 April 2020

Tanmaya Kumar Sahu

2

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2 April 2020

Varsha Saini

3

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2 April 2020

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13 February 2017

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2 April 2020

Scientific Reports

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2 April 2020

7

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2 April 2020

42362

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2 April 2020

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Creative Commons Attribution 4.0 International

13 February 2017

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LAMP: A Database Linking Antimicrobial Peptides

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Prediction of antimicrobial peptides based on sequence alignment and feature selection methods

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Some remarks on protein attribute prediction and pseudo amino acid composition

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AntiBP2: improved version of antibacterial peptide prediction

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CAMP: a useful resource for research on antimicrobial peptides

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21 June 2018

Analysis and prediction of antibacterial peptides.

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21 June 2018

AMPer: a database and an automated discovery tool for antimicrobial peptides.

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Antibacterial peptides for therapeutic use: obstacles and realistic outlook

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Antimicrobial peptides: pore formers or metabolic inhibitors in bacteria?

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Prediction of sequence-dependent and mutational effects on the aggregation of peptides and proteins

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Mechanisms of antimicrobial peptide action and resistance

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based on heuristic

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2 April 2020

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