எங்கள் குழு ஒவ்வொரு ஆண்டும் அமெரிக்கா, ஐரோப்பா மற்றும் ஆசியா முழுவதும் 1000 அறிவியல் சங்கங்களின் ஆதரவுடன் 3000+ உலகளாவிய மாநாட்டுத் தொடர் நிகழ்வுகளை ஏற்பாடு செய்து 700+ திறந்த அணுகல் இதழ்களை வெளியிடுகிறது, இதில் 50000 க்கும் மேற்பட்ட தலைசிறந்த ஆளுமைகள், புகழ்பெற்ற விஞ்ஞானிகள் ஆசிரியர் குழு உறுப்பினர்களாக உள்ளனர்.
அதிக வாசகர்கள் மற்றும் மேற்கோள்களைப் பெறும் திறந்த அணுகல் இதழ்கள்
700 இதழ்கள் மற்றும் 15,000,000 வாசகர்கள் ஒவ்வொரு பத்திரிகையும் 25,000+ வாசகர்களைப் பெறுகிறது
Oudou Diabate, Cheickna Cisse, Mamadou Sangare, Opeyemi Soremekun, Segun Fatumo, Jeffrey G. Shaffer, Seydou Doumbia, Mamadou Wele
With the rapid spread of the novel Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2), the causative agent of COVID-19 pandemic, poses a serious threat to global public health and still requires further investigations into potential therapeutic agents. The availability of SARS-CoV-2 genomic data and efforts to determine the structure of the viral proteins facilitated the identification of potent inhibitors using structure-based methods and bioinformatics tools.
Some drugs candidates have been proposed to treat COVID-19, but their effectiveness has not been approved. However, it is important to find new targeted drugs to overcome the problem of drug resistance. Several viral proteins such as proteases, polymerases or structural proteins have been considered as potential therapeutic targets. However, the viral target must be essential for host invasion and meet certain drug eligibility criteria.
In this work, we selected the validated pharmacological target main protease Mpro and we performed high throughput virtual screening of Natural Products from African Databases such as NANPDB, EANPDB, AfroDb, and SANCDB to identify the most promising inhibitors with the best pharmacological properties.
In total, 8741 Natural Products NPs were virtually screened against the main protease of SARS-CoV-2. Two hundred and five (205) compounds showed high-affinity scores (less than -10.0 Kcal/mol), among which fifty-eight (58) filtered through Lipinski’s rules. Those NPs showed better affinity than known inhibitors (i.e., ABBV-744, Onalespib, Daunorubicin, Alpha-ketoamide, Perampanel, Carprefen, Celecoxib, Alprazolam, Trovafloxacin, Sarafloxacin, Ethyl biscoumacetat). Detail of their interactions with the protein were illustrated and discussed with comparative inhibitors. Those promising compounds could be considered for further investigations toward the development of SARS-CoV-2 drug.