High-Throughput Docking and Molecular Dynamics Simulations towards the Identification of Potential Inhibitors against Human Coagulation Factor XIIa

Joint Authors

Xu, Dongfang
Xue, Guangpu
Peng, Bangya
Feng, Zanjie
Lu, Hongling
Gong, Lihu

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-05-22

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Medicine

Abstract EN

Human coagulation factor XIIa (FXIIa) is a trypsin-like serine protease that is involved in pathologic thrombosis.

As a potential target for designing safe anticoagulants, FXIIa has received a great deal of interest in recent years.

In the present study, we employed virtual high-throughput screening of 500,064 compounds within Enamine database to acquire the most potential inhibitors of FXIIa.

Subsequently, 18 compounds with significant binding energy (from -65.195 to -15.726 kcal/mol) were selected, and their ADMET properties were predicted to select representative inhibitors.

Three compounds (Z1225120358, Z432246974, and Z146790068) exhibited excellent binding affinity and druggability.

MD simulation for FXIIa-ligand complexes was carried out to reveal the stability and inhibition mechanism of these three compounds.

Through the inhibition of activated factor XIIa assay, we tested the activity of five compounds Z1225120358, Z432246974, Z45287215, Z30974175, and Z146790068, with pIC50 values of 9.3∗10−7, 3.0∗10−5, 7.8∗10−7, 8.7∗10−7, and 1.3∗10−6 M, respectively; the AMDET properties of Z45287215 and Z30974175 show not well but have better inhibition activity.

We also found that compounds Z1225120358, Z45287215, Z30974175, and Z146790068 could be more inhibition of FXIIa than Z432246974.

Collectively, compounds Z1225120358, Z45287215, Z30974175, and Z146790068 were anticipated to be promising drug candidates for inhibition of FXIIa.

American Psychological Association (APA)

Xu, Dongfang& Xue, Guangpu& Peng, Bangya& Feng, Zanjie& Lu, Hongling& Gong, Lihu. 2020. High-Throughput Docking and Molecular Dynamics Simulations towards the Identification of Potential Inhibitors against Human Coagulation Factor XIIa. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139377

Modern Language Association (MLA)

Xu, Dongfang…[et al.]. High-Throughput Docking and Molecular Dynamics Simulations towards the Identification of Potential Inhibitors against Human Coagulation Factor XIIa. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139377

American Medical Association (AMA)

Xu, Dongfang& Xue, Guangpu& Peng, Bangya& Feng, Zanjie& Lu, Hongling& Gong, Lihu. High-Throughput Docking and Molecular Dynamics Simulations towards the Identification of Potential Inhibitors against Human Coagulation Factor XIIa. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139377

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139377