4.6 Article

Computational search for aflatoxin binding proteins

Journal

CHEMICAL PHYSICS LETTERS
Volume 685, Issue -, Pages 1-8

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.cplett.2017.07.024

Keywords

-

Funding

  1. National Natural Science Foundation of China [21433004, 21403068, 21673074, 31571786]
  2. Ministry of Science and Technology of China [2016YFA0501700]
  3. NYU Global Seed [20160401JZ]
  4. Shanghai Putuo District [2014-A-02]
  5. Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund [U1501501]

Ask authors/readers for more resources

Aflatoxin is one of the mycotoxins that contaminate various food products. Among various aflatoxin types (B1, B2, G1, G2 and M1), aflatoxin B1 is the most important and the most toxic one. In this study, through computational screening, we found that several proteins may bind specifically with different type of aflatoxins. Combination of theoretical methods including target fishing, molecular docking, molecular dynamics (MD) simulation, MM/PBSA calculation were utilized to search for new aflatoxin B1 binding proteins. A recently developed method for calculating entropic contribution to binding free energy called interaction entropy (IE) was employed to compute the binding free energy between the protein and aflatoxin B1. Through comprehensive comparison, three proteins, namely, trihydroxynaphthalene reductase, GSK-3b, and Pim-1 were eventually selected as potent aflatoxin B1 binding proteins. GSK-3b and Pim-1 are drug targets of cancers or neurological diseases. GSK-3b is the strongest binder for aflatoxin B1. (C) 2017 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available