Research
Publications
> Tonmoy MIQ, Faisal SK, Hossain MS, Hami I, Shakil MSK, Verma AK, Hasan M, Reza HA, Bahadur NM, Rahaman MM, "Identification of novel inhibitors of high affinity iron permease (FTR1) through implementing pharmacokinetics index to fight against black fungus An in silico approach" (Infection, Genetics and Evolution, IF: 4.39, Q2)
> Verma AK, Hossain MS, Faisal SK., Husain N, Ashid M, Upadhyay SK, Vishvakarma NK, Bhojiya AA, "In silico identification of ethoxy phthalimide pyrazole derivatives as IL-17A and IL-18 targeted gouty arthritis agents" ( Journal of Biomolecular Structure and Dynamics, IF: 5.235, Q1)
> Verma AK, Majid A, Hossain MS, Faisal SK., Ashid M, Bhojiya AA, Ameta S, Upadhyay SK, Srivastava AK, Vishwakarma NK, Yadav VK, Teli PK, Harina H, Alam M. "Identification of 1, 2, 4-triazine and its derivatives against Lanosterol 14 - demethylase (CYP51) property of Candida albicans: Influence on the development of new antifungal therapeutic strategies." (Forntiers in Medical Technology)
> Roy AS, Sawrav MSS, Hossain MS, Zohura F, Faisal Sk., Hami I, Islam MK, Reza HA, Iqbal MHB, Bahadur NM, Rahaman MM. "In silico identification of potential inhibitors with higher potency than Bumetanide targeting NKCC1: an important ion cotransporter to treat neurological disorders. " ( Informatics in Medicine Unlocked, IF: 3.37)
> Verma AK, Faisal SK., Hossain MS, Bhojiya AA, Ypadhyay Sk, Sraivahstava AK, Rahaman MM, Bahadur NM, Mathur A . “Unlocking SGK1 Inhibitor Potential of Bis-[1-N,7-N, Pyrazolo tetraethoxyphthalimido{-4-(3,5-Dimethyl-4-(spiro-3-methylpyazolo)-1,7-dihydro-1H-dipyrazolo[3,4-b;4',3'-e]pyridin-8-yl)}]p-disubstituted phenyl compounds: A Computational Study” ( Journal of Biomolecular Structure and Dynamics, IF: 5.235, Q1)
> Verma AK, Faisal SK., Hossain MS, Bhojiya AA, Mathur A, Ypadhyay Sk, Sraivahstava AK, Vishvakar MA, Barik M, Rahaman MM, Bahadur NM. "Molecular Docking and Simulation Studies of Flavonoid compounds against PBP-2a of Methicillin‐Resistant Staphylococcus aureus" ( Journal of Biomolecular Structure and Dynamics, IF: 5.235, Q1)
> Verma AK, Faisal SK.,Yadav V, Singh N ‘Synthesis, antiviral activity, molecular docking, and molecular dynamics studies of ethoxy phthalimide pyrazole derivatives against Cytomegalovirus and Varicella-Zoster virus: potential consequences and strategies for developing new antiviral treatments’ ( Journal of Biomolecular Structure and Dynamics, IF: 5.235, Q1)
Projects
Md Kowser, Sk Faisal Ahmed, Avishek Das Ayan
In today's world, one of the most horrific threats are Corona virus, which is now spreading to almost all countries of the world. Our country also has not been able to escape from the powerful influx of this virus. This virus is so dangerous that, now every human mind has only one question, " Aren't I attacked by Corona?" This thought revolves around everyone's mind when there is general fever or cough. Basically, these events have made us think differently and we've decided that we'll fix this problem. And finally we became able to solve it. we've analyzed the data of 3000 Corona patient in wuhan city and created an AI program, which can work as a doctor. A doctor analyses the symptoms of a patient and tells if the patient have Corona or needs Corona test, our Al program will work in the same process. Even we've created the program in such a way that it can capture subtle to subtle symptoms and analyze them by itself & since it is AI, it always learns from new patients data and continues to be more accurate.
TOMORROW'S WORLD (COVID-19)
Md Kowser, Sk Faisal Ahmed
The Covid-19 or the Novel Corona Virus, now known to the world as one of the most feared. The biggest panic is that the disease is relatively difficult to detect and so far no antidote to cure the virus has been found, which is why the chances of death of the coronavirus are increasing day by day. We have developed an Artificial Intelligence program to learn how to deal with this coronavirus through machine learning and statistical learning. The program through which we can get a sense of the future status of this coronavirus. Basically, this program will tell us how many people can be infected with the coronary virus in the next one week, how many patients can die and how many can recover. As a result, ideas will be made in advance about future coronary conditions, and be prepared to deal with the virus. To perform this type of works, we went through various types of ordinary machine learning and deep learning algorithm. But no one can perform perfectly. Consequently, we developed a new non-parametric statistical learning and online machine learning algorithm and named as "Learning for Tomorrow". The main feature of this algorithm is that, when new data will come, it will learn from this data and make a perfect relationship with the previous data. So a function will be created, which will aid to detect future conditions. Approximately, I can forecast about 7-10 days perfectly which is much more accurate and acceptable.