Computational identification and antifungal bioassay reveals phytosterols as potential inhibitor of Alternaria arborescens

2019 ◽  
Vol 38 (4) ◽  
pp. 1143-1157 ◽  
Author(s):  
Prassan Choudhary ◽  
Hillol Chakdar ◽  
Arjun Singh ◽  
Sunil Kumar ◽  
Sanjeev Kumar Singh ◽  
...  
2019 ◽  
Vol 20 (5) ◽  
pp. 481-487 ◽  
Author(s):  
Pengmian Feng ◽  
Zhenyi Wang

Anticancer peptide (ACP) is a kind of small peptides that can kill cancer cells without damaging normal cells. In recent years, ACP has been pre-clinically used for cancer treatment. Therefore, accurate identification of ACPs will promote their clinical applications. In contrast to labor-intensive experimental techniques, a series of computational methods have been proposed for identifying ACPs. In this review, we briefly summarized the current progress in computational identification of ACPs. The challenges and future perspectives in developing reliable methods for identification of ACPs were also discussed. We anticipate that this review could provide novel insights into future researches on anticancer peptides.


MicroRNA ◽  
2014 ◽  
Vol 2 (3) ◽  
pp. 225-230 ◽  
Author(s):  
Ganesh Sahoo ◽  
Md. Ansari ◽  
Manas Dikhit ◽  
Neha Gupta ◽  
Sindhuprava Rana ◽  
...  

3 Biotech ◽  
2021 ◽  
Vol 11 (3) ◽  
Author(s):  
Vaishali Chandel ◽  
Prem Prakash Sharma ◽  
Seema A. Nayar ◽  
Niraj Kumar Jha ◽  
Saurabh Kumar Jha ◽  
...  

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1004
Author(s):  
Mahmoud A. El Hassab ◽  
Mohamed Fares ◽  
Mohammed K. Abdel-Hamid Amin ◽  
Sara T. Al-Rashood ◽  
Amal Alharbi ◽  
...  

Since December 2019, the world has been facing the outbreak of the SARS-CoV-2 pandemic that has infected more than 149 million and killed 3.1 million people by 27 April 2021, according to WHO statistics. Safety measures and precautions taken by many countries seem insufficient, especially with no specific approved drugs against the virus. This has created an urgent need to fast track the development of new medication against the virus in order to alleviate the problem and meet public expectations. The SARS-CoV-2 3CL main protease (Mpro) is one of the most attractive targets in the virus life cycle, which is responsible for the processing of the viral polyprotein and is a key for the ribosomal translation of the SARS-CoV-2 genome. In this work, we targeted this enzyme through a structure-based drug design (SBDD) protocol, which aimed at the design of a new potential inhibitor for Mpro. The protocol involves three major steps: fragment-based drug design (FBDD), covalent docking and molecular dynamics (MD) simulation with the calculation of the designed molecule binding free energy at a high level of theory. The FBDD step identified five molecular fragments, which were linked via a suitable carbon linker, to construct our designed compound RMH148. The mode of binding and initial interactions between RMH148 and the enzyme active site was established in the second step of our protocol via covalent docking. The final step involved the use of MD simulations to test for the stability of the docked RMH148 into the Mpro active site and included precise calculations for potential interactions with active site residues and binding free energies. The results introduced RMH148 as a potential inhibitor for the SARS-CoV-2 Mpro enzyme, which was able to achieve various interactions with the enzyme and forms a highly stable complex at the active site even better than the co-crystalized reference.


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