Title |
Virtual screening of phytochemicals to novel targets in Haemophilus ducreyi towards the treatment of Chancroid
|
---|---|
Published in |
Bioinformation, August 2014
|
DOI | 10.6026/97320630010502 |
Pubmed ID | |
Authors |
Pranav Tripathi, Ritu Chaudhary, Ajeet Singh |
Abstract |
Conventionally, drugs are discovered by testing chemically synthesized compounds against a battery of in vivo biological screens. Information technology and Omic science enabled us for high throughput screening of compound libraries against biological targets and hits are then tested for efficacy in cells or animals. Chancroid, caused by Haemophilus ducreyi is a public health problem and has been recognized as a cofactor for Human Immunodeficiency Virus (HIV) transmission. It facilitates HIV transmission by providing an accessible portal entry, promoting viral shedding, and recruiting macrophages as well as CD4 cells to the skin. So, there is a requirement to develop an efficient drug to combat Chancroid that can also diminish HIV infection. In-silico screening of potential inhibitors against the target may facilitate in detection of the novel lead compounds for developing an effective chemo preventive strategy against Haemophilus ducreyi. The present study has investigated the effects of approximately 1100 natural compounds that inhibit three vital enzymes viz. Phosphoenolpyruvate phosphotransferase, Acetyl-coenzyme A carboxylase and Fructose 1, 6-bisphosphatase of Haemophilus ducreyi in reference to a commercial drug Rifabutin. Results reveal that the lead compound uses less energy to bind to target. The lead compound parillin has also been predicted as less immunogenic in comparison to Rifabutin. Further, better molecular dynamics, pharmacokinetics, pharmacodynamics and ADME-T properties establish it as an efficient chancroid preventer. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 33% |
Student > Bachelor | 1 | 17% |
Other | 1 | 17% |
Researcher | 1 | 17% |
Professor > Associate Professor | 1 | 17% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 50% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Agricultural and Biological Sciences | 1 | 17% |
Nursing and Health Professions | 1 | 17% |