A5012932586- Antimicrobial Peptides and Activities
- PARP inhibition in cancer therapy
- Biochemical and Structural Characterization
- Cancer therapeutics and mechanisms
- Toxin Mechanisms and Immunotoxins
- Allelopathy and phytotoxic interactions
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
- Cell death mechanisms and regulation
- Botanical Research and Chemistry
- Light effects on plants
- Pesticide Residue Analysis and Safety
- Microbial bioremediation and biosurfactants
- Plant Genetic and Mutation Studies
- Plant responses to elevated CO2
- Chemical Reactions and Isotopes
- Protein Hydrolysis and Bioactive Peptides
- DNA Repair Mechanisms
- Radioactive contamination and transfer
- Seed Germination and Physiology
- Sirtuins and Resveratrol in Medicine
- Antibiotics Pharmacokinetics and Efficacy
- Electrostatic Discharge in Electronics
- Opportunistic and Delay-Tolerant Networks
- Soil and Environmental Studies
Agricultural University of Georgia
2016-2024
University of Pennsylvania
2005
Institute of Biochemistry
2005
Georgian National Academy of Sciences
2005
Antimicrobial peptides (AMPs) have emerged as promising candidates in combating antimicrobial resistance – a growing issue healthcare. However, to develop AMPs into effective therapeutics, thorough analysis and extensive investigations are essential. In this study, we employed an silico approach design cationic de novo, followed by their experimental testing. The antibacterial potential of novo designed AMPs, along with synergistic properties combination conventional antibiotics was...
Antimicrobial peptides (AMPs) have been identified as a potentially new class of antibiotics. There is lot computational methods AMP prediction. Although most them can predict antimicrobial potency against any microbe (microbe not identified) with rather high accuracy, prediction quality these tools particular bacterial strains low (Bioinformatics, 2018, in press; Journal Chemical Information and Modeling 58, 1141-1151). Special tool for the target species accuracy. This included into...
Emerging bacterial resistance to the existing antibiotics makes development of new types an increasingly important challenge. Antimicrobial peptides (AMPs) can be considered as novel and efficient type that are hard acquire against. We have developed algorithm design active against certain species. The prediction is based on clusterization with known biological activities by physicochemical properties. Database Activity Structure Peptides (DBAASP, https://dbaasp.org) now includes Special...
Antimicrobial peptides (AMPs) are anti-infective agents that may represent a novel and untapped class of biotherapeutics. In the lab bioinformatics IBCEB, Database Activity Structure Peptides (DBAASPv.2 - accessible at http://dbaasp.org) has been developed. DBAASP provides information analytical resources to scientific community in order develop antimicrobial compounds with high therapeutic index. Quantitative structure-activity relationship (QSAR) studies for development predictive model...
Antimicrobial peptides (AMPs) have emerged as promising candidates in combating antimicrobial resistance – a growing issue healthcare. However, to develop AMPs into effective therapeutics, thorough analysis and extensive investigations are essential. In this study, we employed an silico approach design cationic de novo, followed by their experimental testing. The antibacterial potential of novo designed AMPs, along with synergistic properties combination conventional antibiotics, were...