Mass Spectrometry (MS/MS) and Proteomics: A High-Performance Bioanalytical Technique for the Peptide Drug Discovery

Author:

Kumar T. Durai A.1ORCID,Desai Sandhya1,Venkaraddiyavar Soumya1,Swathi Naraparaju2,Pujar Gurubasavaraj V.1ORCID

Affiliation:

1. Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru-570 015, Karnataka, India

2. Department of Pharmaceutical Chemistry, Gokaraju Rangaraju College of Pharmacy, Bachupally, Hyderabad-500 090, Telangana, India

Abstract

Drug discovery research focuses on the Rational Drug Design (RDD) concepts, and the major obstacles in the drug discovery process are the lack of target specificity and selectivity. The realization of higher target selectivity of peptide drugs has promoted peptide research. Rapid growth in genomics along with recombinant DNA (rDNA) technology and gene expression studies stimulated the peptide research. The promising use of peptide therapeutics demands sensitive and selective quantification methods. Protein sequencing and proteomic investigations can be successfully accomplished through the Mass Spectroscopy (MS) based methods. Mass spectroscopy-based soft ionization methods, namely, electrospray ionization (ESI) and Matrix-Assisted Laser Desorption/Ionization (MALDI), offer high-throughput sequencing to provide the characterization (sequence and structure) of intact proteins/peptides. The advent of tandem Mass Spectrometry (MS/MS) along with data acquisition methods are the basis for the evolution of peptide therapeutics research. The evolution of data science helped in developing computational proteomics, which assists in the quantitative determination of protein samples. This review narrates the role of mass spectrometry in the peptide drug discovery particularly in the sequence characterization along with the latest developments, such as computational proteomics.

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3