An in silico platform for predicting, screening and designing of antihypertensive peptides

High blood pressure or hypertension is an affliction that threatens millions of lives worldwide. Peptides from natural origin have been shown recently to be highly effective in lowering blood pressure. In the present study, we have framed a platform for predicting and designing novel antihypertensiv...

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Veröffentlicht in:	Scientific reports Jg. 5; H. 1; S. 12512
Hauptverfasser:	Kumar, Ravi, Chaudhary, Kumardeep, Singh Chauhan, Jagat, Nagpal, Gandharva, Kumar, Rahul, Sharma, Minakshi, Raghava, Gajendra P.S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 27.07.2015 Nature Publishing Group
Schlagworte:	631/114 631/114/2398 631/154/1435/2418 Accuracy Algorithms Amino acid composition Amino Acid Sequence Amino acids Antihypertensive Agents - administration & dosage Antihypertensive Agents - chemistry Antihypertensives Blood pressure Drug Design Drug Evaluation, Preclinical - methods Humanities and Social Sciences Hypertension Molecular Sequence Data multidisciplinary Pattern Recognition, Automated - methods Peptides Peptides - administration & dosage Peptides - chemistry Regression analysis Science Sequence Alignment - methods Sequence Analysis, Protein - methods Software Support Vector Machine
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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