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result(s) for
"Kashyap, Ishan"
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Understanding the action of bamocaftor as a potential drug candidate against Cystic Fibrosis Transmembrane Regulator protein: A computational approach
by
Patel, Naisarg
,
Thiruselvam, Premkumar
,
V M, Bala Murali
in
Aminophenols - chemistry
,
Aminophenols - pharmacology
,
Biology and Life Sciences
2025
Cystic Fibrosis (CF) is a hereditary condition and can cause permanent respiration problems leading to degraded life quality. The most common variation leading to CF is the F508del variation. CF can cause damage to not just the lungs but also digestive system, pancreas, and other organs. CF decreases the life expectancy of the individuals affected with the constant fear of lung complications. The current methods of treatment include using a combination of drugs to manage the symptoms. The combination of drugs has many side effects and causes damage to other organs like liver, heart or kidneys. In this study, we aim to find a drug that can relieve the symptoms of CF. We began by creating a dataset of potential drug molecules, which was subsequently refined by removing harmful compounds through an ADMET scan. All these compounds were then docked to the mutated Cystic Fibrosis Transmembrane Regulator (CFTR) protein. The compounds with the best docking affinity were Galicaftor and Bamocaftor. A currently approved drug, Ivacaftor was selected as control for the 200 ns Molecular Dynamics (MD) Simulation. The simulation revealed that the CFTR protein remained more stable and compact when complexed with Bamocaftor, when compared to Ivacaftor and Galicaftor. Moreover, the MMPBSA free energy calculations revealed that the free energy of the CFTR-bamocaftor complex is the lowest compared to the other complexes. Our findings reveal the action of bamocaftor on CFTR protein with p.Phe508del variation. However, the absence of in-vivo or in-vitro studies is a limitation, and further experimental validation is necessary to confirm its efficacy and safety.
Journal Article
A new conceptualization of investor sophistication and its impact on herding and overconfidence bias
by
Kashyap Hazarika, Ishan
,
Yadav, Deepshikha
,
Yadav, Ashutosh
in
Behavior
,
Behavioral economics
,
Bias
2022
Despite the success of behavioral finance, the question of whether behavioral biases persist in the face of expertise is an oft-expressed concern. It becomes pertinent to explore if investor sophistication is associated with behavioral biases, as traders gain sophistication with experience and knowledge. The current study explores this relationship by proposing a new conceptualization of investors’ sophistication via the processes of learning and competition. The study empirically explores if herding and overconfidence biases are related to learning and competition, and thus, with investors’ sophistication via these aspects. Using data from equity investors from India (n = 257), the study employs ANOVA and multiple regression analysis through indicator function to form dummy variables for different categories. The results of the study conclude that diversification is significantly related to both the biases using ANOVA (F(3,253) = 3.081; p < 0.05) as well as multiple regression (p < 0.05). The other variables considered are found to be non-significant (p > 0.05) for both the biases. The study controls for all the other observed variables of the conceptual model to find out the effect of the change in the observed variables on the level of investor sophistication, making this study a novel and a distinct attempt.
Journal Article
Understanding the action of bamocaftor as a potential drug candidate against Cystic Fibrosis Transmembrane Regulator protein: A computational approach
2025
Cystic Fibrosis (CF) is a hereditary condition and can cause permanent respiration problems leading to degraded life quality. The most common variation leading to CF is the F508del variation. CF can cause damage to not just the lungs but also digestive system, pancreas, and other organs. CF decreases the life expectancy of the individuals affected with the constant fear of lung complications. The current methods of treatment include using a combination of drugs to manage the symptoms. The combination of drugs has many side effects and causes damage to other organs like liver, heart or kidneys. In this study, we aim to find a drug that can relieve the symptoms of CF. We began by creating a dataset of potential drug molecules, which was subsequently refined by removing harmful compounds through an ADMET scan. All these compounds were then docked to the mutated Cystic Fibrosis Transmembrane Regulator (CFTR) protein. The compounds with the best docking affinity were Galicaftor and Bamocaftor. A currently approved drug, Ivacaftor was selected as control for the 200 ns Molecular Dynamics (MD) Simulation. The simulation revealed that the CFTR protein remained more stable and compact when complexed with Bamocaftor, when compared to Ivacaftor and Galicaftor. Moreover, the MMPBSA free energy calculations revealed that the free energy of the CFTR-bamocaftor complex is the lowest compared to the other complexes. Our findings reveal the action of bamocaftor on CFTR protein with p.Phe508del variation. However, the absence of in-vivo or in-vitro studies is a limitation, and further experimental validation is necessary to confirm its efficacy and safety.
Journal Article
COVID-19 Misinformation: A Potent Co-Factor in the COVID-19 Pandemic
by
Kashyap, Rahul
,
Surani, Salim
,
Shaik, Likhita
in
Artificial intelligence
,
COVID-19
,
COVID-19 vaccines
2022
COVID-19, the biggest global health crisis of our times was complicated by an equally potent co-factor: the misinformation infodemic. A confluence of unique factors led to the emergence of the crisis of misinformation, including the widespread reach of social media, the lack of credible sources and strategies for information dissemination, and the sticky and virulent nature of the misinformation campaigns. One of the primary targets of the misinformation campaign was the COVID-19 vaccine effort, leading to significant impediments to implementing an effective and successful vaccination campaign. The time to act is now and will need a concerted multipronged approach with a close partnership between scientists, public health agencies, government agencies, and social media companies to foster accuracy in the exchange of health information in social media and curb the menace of misinformation. This paper aims to review the scope of the problem and examine strategies to help mitigate it.
Journal Article
Long-term Outcomes and Prognostic Factors for Patients Requiring Renal Replacement Therapy After Cardiac Surgery
by
Cheungpasitporn, Wisit
,
Kashyap, Rahul
,
Shah, Ishan K.
in
Acute Kidney Injury - epidemiology
,
Acute Kidney Injury - etiology
,
Acute Kidney Injury - therapy
2015
To examine long-term outcomes, including all-cause mortality, and the likelihood and timing of renal recovery among patients requiring renal replacement therapy (RRT) for acute kidney injury after cardiac surgery.
This is a single-center, historical, matched cohort study of post–cardiac surgery patients who required RRT from January 1, 2007, through December 31, 2012. We matched each case with 2 controls, each of whom did not require RRT after cardiac surgery, for age, sex, and type of surgery. The patients were followed up for 1 year after the start of RRT. The main outcomes were all-cause mortality in all patients and rate of renal function recovery in patients who required RRT.
A total of 202 patients met the inclusion criteria. The unadjusted all-cause mortality among patients requiring RRT was 64% at 1 year vs 8% for matched controls. In multivariate analysis, the hazard ratio for all-cause mortality was 12.59 (95% CI, 8.24-19.68) for cases vs controls. Increased 1-year all-cause mortality was independently associated with increased age, a history of congestive heart failure, lower preoperative creatinine level, longer interval between surgery and starting RRT, and the need for mechanical ventilation or an intra-aortic balloon pump at the time of RRT. Renal recovery occurred in 34% of cases by 90 days and in 39% by 1 year. Of those who recovered renal function, 87% were within 90 days. Only 8 (4%) of the 186 patients were alive and continued to receive RRT at 1 year.
The need for RRT after cardiac surgery is an independent risk factor for mortality. In the case of survival, the chance of renal recovery is reasonable.
Journal Article