Abstract
Antimicrobial peptides are important components of innate immunity in species across the evolutionary scale. Unlike therapeutically used antibiotics, this class of peptides exert their activity by permeabilizing bacterial membranes. Despite the seemingly common mechanism of action, there is considerable variation in their primary structures, length and number of positive charges. Host-defense antimicrobial peptides have been the subject of extensive biophysical studies with a view at delineate structural requirements for activity. In this article, the structures of host defence antibacterial peptides and the structural requirements for activity are reviewed.
Keywords: Antimicrobial peptides, amphiphilic alpha-helical peptides, magainins magainin, buforin, seminalplasmin spln, melittin, indolicidin, tritrpticin, defensins
Current Pharmaceutical Design
Title: Host-defense Antimicrobial Peptides: Importance of Structure for Activity
Volume: 8 Issue: 9
Author(s): Narasimhaiah Sitaram and Ramakrishnan Nagaraj
Affiliation:
Keywords: Antimicrobial peptides, amphiphilic alpha-helical peptides, magainins magainin, buforin, seminalplasmin spln, melittin, indolicidin, tritrpticin, defensins
Abstract: Antimicrobial peptides are important components of innate immunity in species across the evolutionary scale. Unlike therapeutically used antibiotics, this class of peptides exert their activity by permeabilizing bacterial membranes. Despite the seemingly common mechanism of action, there is considerable variation in their primary structures, length and number of positive charges. Host-defense antimicrobial peptides have been the subject of extensive biophysical studies with a view at delineate structural requirements for activity. In this article, the structures of host defence antibacterial peptides and the structural requirements for activity are reviewed.
Export Options
About this article
Cite this article as:
Sitaram Narasimhaiah and Nagaraj Ramakrishnan, Host-defense Antimicrobial Peptides: Importance of Structure for Activity, Current Pharmaceutical Design 2002; 8 (9) . https://dx.doi.org/10.2174/1381612023395358
| DOI https://dx.doi.org/10.2174/1381612023395358 |
Print ISSN 1381-6128 |
| Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
Call for Papers in Thematic Issues
"Multidisciplinary Pharmaceutical Drug Design Strategies in the Progress of Drug Discovery"
The process of developing a drug is time and money-consuming, but also fascinating. The development of numerous computational techniques, synthetic methodologies, formulation-based drug discovery, etc., has improved the drug discovery process. The process of developing new drugs is significantly hampered by drug-poor pharmacodynamics and pharmacokinetic problems. To address these challenges, ...read more
Accelerating Cancer drug discovery using Artificial intelligence and In Silico methods
The Artificial intelligence and in silico methods speed up cancer drug discovery, transforming how new treatments are developed. Artificial intelligence, along with in silico methods, allows for quick investigation of large biological datasets, helping identify potential drug targets with remarkable speed and accuracy. Machine learning models help us understand how ...read more
Advances in the Molecular Pathogenesis of Inflammatory Bowel Disease.
This thematic issue will emphasize the recent breakthroughs in the mechanisms of Inflammatory bowel disease (IBD) pathogenesis and devotes some understanding of both Crohn’s and ulcerative colitis. It is expected to include studies about cellular and genetic aspects, which help to precipitate the disease, and the immune system-gut microbiome relations ...read more
Artificial Intelligence and Computational Approaches in Drug Discovery
Computer-aided drug design (CADD) and artificial intelligence (AI) are fundamentally reshaping drug discovery pipelines by significantly enhancing efficiency in molecular screening, rational drug design, and natural product development. In the field of molecular screening, the integration of virtual high-throughput screening with advanced AI models enables rapid analysis of million-compound libraries, ...read more
- Author Guidelines
- Bentham Author Support Services (BASS)
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements





