Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Subrata Sinha is active.

Publication


Featured researches published by Subrata Sinha.


grid computing | 2010

A study on the performance of serial code on shared memory parallel architecture

Subrata Sinha; Subrata Chakraborty; Manash Pratim Barman; Aryabarta Sahu

Highly CPU intensive serial task when run on parallel architecture, OS does the Core switching of the given task. Mainly the task is executed by one core at a time, but both the cores are used for processing when core (currently executing) usage reaches 100%. In this scenario OS switches the task between cores. In this paper an attempt has been made to study the time taken to process a segment of serial code along with number of times the task is switched between two cores. Finally linear regression analysis is done on the data to find the influence of core switching on processing time. The study is made on a system having Intel Core 2 Duo with two cores having speed 2.20 GHz and Fedora Core 12.


Archive | 2018

Bioinformatics and Pharmacogenomics: Tools to Understand and Accelerate Infectious Disease Control

Ashwani Sharma; Subrata Sinha; Surabhi Johari; Bhaskar Mazumder

Population science provides a helpful hand to determine the impact of deadly infectious communicable diseases such as tuberculosis, among other viral and bacterial infections, on the population [1–3]. Timely information on these diseases aids in reducing risk, incidence and deaths associated with these diseases. It also helps to improve the quality of life for survivors. These research projects provided a common platform for clinical, basic and population scientists to work collectively to further improve individual and population health. Recent trends in genetic, epidemiology, [4–6] applied and surveillance researches provided useful clues to reduce the impact of spread of infectious diseases worldwide. Many studies, associated with population science in disease control, help in many ways to control the infectious diseases, such as: 1. It improves understanding of the influence of pathogenic deadly diseases on the population, including hereditary (genetic) and environmental factors that may influence a person’s risk of getting infected [7–10]. 2. It may help in elucidating and understanding health problems among the population due to the influence of diseases and their pharmacological treatment or other preventive measures. 3. These studies facilitate the discovery of new treatments and the most effective ways to prevent diseases. 4. The study of population science enables rapid detection of infection among the population and also prospective cost-effectiveness analysis for treatment.


International Conference on Computing and Communication Systems | 2012

Protein Ligand Interaction Studies of DJ-1 Protein Responsible for Parkinson’s Disease and Chemical Analogues of Bacopa monnieri (Brahmi) Compounds

Subrata Sinha; Surabhi Johari; Khushboo Gupta; Sewali Bora

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by progressive loss of dopaminergic neurons of substantia nigra . It has been discovered that DJ1 is a protein responsible for oxidative stress which causes aggregation of α synuclein fibrils further resulting in formation of Lewy bodies. These Lewy bodies serve as a marker for neuronal degeneration . Therefore probably inhibiting the DJ1 may reduce the formation of Lewy bodies thus decreasing the epidemiology of PD. Bacopa monnieri has been in use since early as a brain tonic to enhance memory development, however how the components of Bacopa monnieri functions is yet unknown. In this paper an attempt has been made to establish the component’s activities insilico with DJ1 that is responsible for Lewy bodies’ formation. We found that among the screened seven components, Jujubogenin glycosides interacts potentially with DJ1 but its drug like behavior was not satisfied so an analogue of Jujubogenin glycosides was designed which has passed all the properties of drug with drug likeliness 2.89 , drug score 0.65, highly soluble, highly permeable, non mutagenic, non tumerogenic and non irritant.


International Conference on Computing and Communication Systems | 2012

Core Temperature Depends on the Processing Load of the Core and the Temperature of Adjacent Core-A Regression Analysis

Subrata Sinha

In a multi core CPU, the temperature of a core is an important aspect of study. In this paper an attempt has been made to examine the dependency of core temperature on the utilization of core and temperature of adjacent core. The study was conducted in dual core architecture. The utilization rate and temperature of both the cores are recorded and regression analysis has been made on the data. The result shows the core temperature depends more on the temperature of other cores than the utilization of the core itself.


International Conference on Computing and Communication Systems | 2011

Ligand Binding Studies of Caspase 3 Protein with Compounds of Bacopa monneri - A Target Protein Responsible for Alzheimer's Disease (AD)

Surabhi Johari; Subrata Sinha; Sewali Bora; Sagarika Biswas; Khushboo Gupta

Alzheimer’s disease (AD) is a type of dementia that causes problems with memory, thinking and behaviour. It has been discovered that APP (amyloid precursor protein) is a precusor molecule whose proteolysis generate amyloid s (As) amino acid peptide. As is an amyloidogenic peptide that forms senile plaques found in the brains of AD. Evidence suggests that senile plaques are formed due to the activation of Caspases particulary caspases CASP 3 and CASP 4. Bacopa monneri has been in use since early as a brain tonic to enhance memory development, however how the components of Bacopa monneri function is yet unknown .In this paper an attempt has been made to establish the components activities insilico with CASP 3. We found that among the screened seven compounds Ligand 6 interacts potentially with CASP 3 and has passed all the properties of drug with drug likeliness 0.95, drug score 0.69 , highly soluble, highly permeable, non mutagenic, non tumerogenic and non irritant.


2011 2nd National Conference on Emerging Trends and Applications in Computer Science | 2011

Ligand binding studies for DPP IV a target protein responsible for Diabetes Mellitus Type 2: Structural based approach for drug designing

Surabhi Johari; Rajeev Sharmah; Subrata Sinha

Diabetes Mellitus Type 2 is one of the common diseases and found worldwide. The cause of this abnormality is due to lack of insulin production. Glucagon like peptide-1 (GLP-1), product of the glucagon gene is one of the prime components which stimulates the β cell proliferation and inhibits β cell death. DiPeptidyl Peptidase IV (DPP IV) acts as protease degrading incretins which stimulates the secretion of insulin for normalizing sugar level. Therefore, inhibiting DPP IV would decrease incertins degradation and in turn will stimulate the insulin secretion. The objective of this study was to search for an inhibitor with minimum or no harmful effects. The sequence coding for DPP IV was retrieved and remodeled insilico and DOCKING studies found that methyl amine is one of potential inhibitors of DPP IV. The insilico study for activity and drug likeness of the ligand molecule found it to be non mutagenic, non irritant, non tumerogenic and have no effect on fertility.


Journal of science | 2015

Role of Bioinformatics in Climate Change Studies

Subrata Sinha


Journal of science | 2017

A Review on GPU Accelerated Bioinformatics Tool

Subrata Sinha; Abinash Hazarika; G.C. Hazarika


Journal of science | 2016

A Comprehensive Study on Grid Performance Enhancement and Server Fault Penalty Minimization on JPPF Grid for E.coli Genome Sequence Alignment Problem

Subrata Sinha; Abinash Hazarika; Bishwajit Bora; G.C. Hazarika


World Academy of Science, Engineering and Technology, International Journal of Biotechnology and Bioengineering | 2015

A Novel Epitope Prediction for Vaccine Designing against Ebola Viral Envelope Proteins

Manju Kanu; Subrata Sinha; Surabhi Johari

Collaboration


Dive into the Subrata Sinha's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge