Back

Molecular and Quantum Mechanical Studies of Interaction Between Tetrahydrocurcumin Derivative and PCSK9 Protein to Provide a Basis for an Oral Pill to Remove Bad Cholesterol

Vaithyanathan, P.

2023-07-05 bioinformatics
10.1101/2023.07.04.547717 bioRxiv
Show abstract

The interaction between Proprotein convertase subtilisin/kexin type 9 (PCSK9) and low-density lipoprotein receptors responsible for causing atherosclerosis. According to estimates, it causes 60% of fatalities worldwide and is the covert precursor to clinical myocardial infarction (MI), stroke, and CVD. Designing tiny compounds that inhibit PCSK9 from interacting with LDL receptors is the need of the hour. Through bioinformatics-based studies, this study seeks to assess the interactions between a derivative of tetrahydrocurcumin and PCSK9 Protein and compare them to interactions with the literature based studies of standard Atorvastatin. Additionally, comparison research was carried out to examine how the new compound interacts in the active and allosteric regions of PCSK9. The above-mentioned compound, a derivative of Tetrahydrocurcumin, was adjusted and optimized to the level of local minimum energy using the RCSBs downloaded PDB file 7S5H. By Desmond MD simulation studies, the stability of the non-bonded interactions of the complexes was examined. An affinity of -9.493 kcal/mol for the active site and -8.148 kcal/mol for the allosteric site was observed by docking studies in comparison with the standard molecule, atorvastatin. Also, the MMGBSA value of -50.7142 kcal/mol indicates the Tetrahydrocurcumin derivative binds well compare to the standard, atorvastatin. The Tetrahydro curcumin derivative molecule was able to orient into the active region with the help of Asp238, Thr377, and Ser381 amino acids. In comparison to atorvastatin, the binding affinity was raised by seven H-bonds with six amino acids and one {pi} interaction of Arg295 amino acids of the allosteric site. The Tetrahydro curcumin molecules nonbonded interaction was found to be stable for 100 ns by MD simulation tests. This demonstrates that the Tetrahydrocurcumin derivative molecule will prove to be an effective substrate to modify PCSK9 protein behavior.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 0.1%
41.0%
2
PLOS ONE
5266 papers in training set
Top 18%
10.0%
50% of probability mass above
3
RSC Advances
22 papers in training set
Top 0.1%
3.3%
4
Journal of Molecular Graphics and Modelling
17 papers in training set
Top 0.1%
3.3%
5
International Journal of Molecular Sciences
494 papers in training set
Top 5%
2.5%
6
Scientific Reports
3612 papers in training set
Top 46%
2.2%
7
Molecules
39 papers in training set
Top 0.5%
2.1%
8
Frontiers in Pharmacology
111 papers in training set
Top 1%
1.8%
9
Computational and Structural Biotechnology Journal
242 papers in training set
Top 3%
1.8%
10
Computational Biology and Chemistry
28 papers in training set
Top 0.3%
1.8%
11
Computers in Biology and Medicine
128 papers in training set
Top 2%
1.8%
12
PLOS Computational Biology
1863 papers in training set
Top 16%
1.2%
13
ACS Omega
105 papers in training set
Top 2%
1.2%
14
Pharmaceuticals
34 papers in training set
Top 0.7%
1.2%
15
Briefings in Bioinformatics
354 papers in training set
Top 5%
1.2%
16
Biochemistry and Biophysics Reports
30 papers in training set
Top 0.8%
1.1%
17
Frontiers in Molecular Biosciences
102 papers in training set
Top 2%
1.1%
18
Journal of Chemical Information and Modeling
238 papers in training set
Top 2%
1.0%
19
PeerJ
308 papers in training set
Top 10%
0.9%
20
International Journal of Biological Macromolecules
76 papers in training set
Top 2%
0.9%
21
Bioscience Reports
27 papers in training set
Top 1%
0.6%
22
Biochemical and Biophysical Research Communications
84 papers in training set
Top 3%
0.6%
23
Biochimie
25 papers in training set
Top 1%
0.5%
24
Journal of Biosciences
15 papers in training set
Top 0.4%
0.5%
25
F1000Research
88 papers in training set
Top 5%
0.5%
26
Biomolecules
100 papers in training set
Top 4%
0.5%