Computational prediction of interaction and pharmacokinetics profile study for polyamino-polycarboxylic ligands on binding with human serum albumin-Reference-Cited by-同舟云学术

Computational prediction of interaction and pharmacokinetics profile study for polyamino-polycarboxylic ligands on binding with human serum albumin

Published:2020 Issue:7 Volume:44 Page:2907-2918
ISSN:1144-0546
Container-title:New Journal of Chemistry
language:en
Short-container-title:New J. Chem.

Author:

Chadha Nidhi¹²³⁴⁵,Singh Dushyant⁵⁶⁷⁸⁴,Milton Marilyn D.⁵⁹¹⁰⁴,Mishra Gauri¹¹¹²⁹¹³⁴,Daniel Joseph⁵⁶⁷⁸⁴,Mishra Anil K.¹²³⁴,Tiwari Anjani K.¹²³⁴⁵^ORCID

Affiliation:

1. Division of Cyclotron and Radiopharmaceutical Sciences

2. Institute of Nuclear Medicine and Allied Sciences

3. Delhi 110054

4. India

5. Department of Chemistry

6. Christ Church P. G. College

7. C S J M University

8. Kanpur

9. University of Delhi

10. Delhi 110007

11. Department of Zoology

12. Swami Shraddhanand College

13. Delhi 110036

Abstract

Human serum albumin (HSA) is one of the most abundant plasma proteins available in blood and responsible for transport of fatty acids, drugs and metabolites at its binding sites which are very important for the assessment of pharmacokinetics profile of the polyamino-polycarboxylic ligands.

Funder

Council of Scientific and Industrial Research, India

University Grants Commission

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2020/NJ/C9NJ05594K

Reference44 articles.

1. Toward in silico structure-based ADMET prediction in drug discovery

2. Atomic structure and chemistry of human serum albumin