Biotechnology and Molecular Biology Reviews

  • Abbreviation: Biotechnol. Mol. Biol. Rev.
  • Language: English
  • ISSN: 1538-2273
  • DOI: 10.5897/BMBR
  • Start Year: 2006
  • Published Articles: 102


A review on benefits of mass spectrometry for the small molecule drug discovery

Iqra Bano
  • Iqra Bano
  • School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
  • Google Scholar
Usman Dawood Butt
  • Usman Dawood Butt
  • Ocean College, Zhejiang University, Zhoushan 316021, China.
  • Google Scholar
Ali Hafiz Akbar
  • Ali Hafiz Akbar
  • School of Pharmaceutical sciences, Zhengzhou University, Zhengzhou, China.
  • Google Scholar
Syed Agha Hasnain Mohsan
  • Syed Agha Hasnain Mohsan
  • Ocean College, Zhejiang University, Zhoushan 316021, China.
  • Google Scholar
Safia Arbab
  • Safia Arbab
  • Key Laboratory of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
  • Google Scholar

  •  Received: 27 August 2021
  •  Accepted: 12 October 2021
  •  Published: 31 October 2021


The drug discovery is a very much time consuming as well as costly procedure. The Mass Spectrometry (MS) technology offers the aptitude for characterization, identification, as well as quantification of a target entity in a complex matrix and has settled into a leading analytical tool in the field of medicinal chemistry and drug discovery. However, by using specific MS-based techniques including personalized sample design, coupling to the gas and liquid chromatography and various ionization techniques, both qualitative as well as quantitative analysis of small molecular drug particles can be obtained. The current review describes MS strategies which are used to enhance and accelerate drug identification besides degradation linked impurities in active pharmaceutical ingredients (API) or articulated products. The level of protein expression is often termed as proteomics research. With use of MS technology, we can learn more reliable as well as dynamic ways of protein analysis.


Key words: MS, drug discovery, active pharmaceutical ingredients (API), spectroscopy.