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Publications (21)
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Acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) are lung complications diagnosed by impaired gaseous exchanges leading to mortality. From the diverse etiologies, sepsis is a prominent contributor to ALI/ARDS. In the present study, we retrieved sepsis-induced ARDS mRNA expression profile and identified 883 differentia...
Understanding the physical and chemical properties of proteins is vital, and many efforts have been made to study the emergent properties of the macro-molecules as a combination of long chains of amino acids. Here, we present a graph signal processing based approach to model the biophysical property of proteins. For each protein inter-residue proxi...
Motivation
It is expected that the difference in the thermal stability of mesophilic and thermophilic proteins arises, in part at least, from the differences in their molecular structures and amino acid compositions. Existing machine learning approaches for supervised classification of proteins rely on the features derived from the structural netwo...
Species evolve by adapting to variable thermal conditions. The differences in the thermal stability of hyperthermophilic, thermophilic and mesophilic proteins arise partly due to their structural variations. The goal of this thesis is to identify structural features responsible for these variations using machines learning techniques that use featur...
Brain research has been driven by inquiry for principles of brain structure organization and its control mechanisms. The neuronal wiring map of C. elegans, the only complete connectome available till date, presents an incredible opportunity to learn basic governing principles that drive structure and function of its neuronal architecture. Despite i...
Brain Functional Networks (BFNs), graph theoretical models of brain activity data, provide a systems perspective of complex functional connectivity within the brain. Neurological disorders are known to have basis in abnormal functional activities, that could be captured in terms of network markers. Schizophrenia is a pathological condition characte...
Podophyllum hexandrum Royle is an important high-altitude plant of Himalayas with immense medicinal value. Earlier, it was reported that the cell wall hydrolases were up accumulated during radicle protrusion step of Podophyllum seed germination. In the present study, Podophyllum seed Germination protein interaction Network (PGN) was constructed by...
Caenorhabditis elegans, a soil dwelling nematode, is evolutionarily rudimentary and contains only ~ 300 neurons which are connected to each other via chemical synapses and gap junctions. This structural connectivity can be perceived as nodes and edges of a graph. Controlling complex networked systems (such as nervous system) has been an area of exc...
Mechanical ventilation is used for patients with a variety of lung diseases.
Traditionally, ventilators have been designed to monotonously deliver equal
sized breaths. While it may seem intuitive that lungs may benefit from
unvarying and stable ventilation pressure strategy, recently it has been
reported that variable lung ventilation is advantageo...
Mechanical ventilation is used for patients with a variety of lung diseases. Traditionally, ventilators have been designed to monotonously deliver equal sized breaths. While it may seem intuitive that lungs may benefit from unvarying and stable ventilation pressure strategy, recently it has been reported that variable lung ventilation is advantageo...
Despite technological progresses and improved understanding of biological systems, discovery of novel drugs is an inefficient, arduous and expensive process. Research and development cost of drugs is unreasonably high, largely attributed to high attrition rate of candidate drugs due to adverse drug reactions. Computational methods for accurate pred...
Here, we have strategically synthesized stable gold (AuNPs(Tyr), AuNPs(Trp)) and silver (AgNPs(Tyr)) nanoparticles which are surface functionalized with either tyrosine or tryptophan residues and have examined their potential to inhibit amyloid aggregation of insulin. Inhibition of both spontaneous and seed-induced aggregation of insulin was observ...
Any national cuisine is a sum total of its variety of regional cuisines,
which are the cultural and historical identifiers of their respective regions.
India is home to a number of regional cuisines that showcase its culinary
diversity. Here, we study recipes from eight different regional cuisines of
India spanning various geographies and climates....
Culinary systems, the practice of preparing a refined combination of
ingredients that is palatable as well as socially acceptable, are examples of
complex dynamical systems. They evolve over time and are affected by a large
number of factors. Modeling the dynamic nature of evolution of regional
cuisines may provide us a quantitative basis and exhib...
Culinary practices are influenced by climate, culture, history and geography.
Molecular composition of recipes in a cuisine reveals patterns in food
preferences. Indian cuisine encompasses a number of diverse sub-cuisines
separated by geographies, climates and cultures. Its culinary system has a long
history of health-centric dietary practices focu...
Systems biological models of complex diseases provide a rational way to target their molecular control mechanisms. On the other hand, traditional medicinal systems offer empirical evidence for efficacy of plant extracts against diseases. Informed with our recent research explorations, we propose a data and informatics driven integrative framework t...
Capsaicin is a versatile plant product which has
been ascribed several health benefits and anti-inflammatory and analgesic properties. We have investigated the effect of capsaicin on the molecular stability, self-assembly, and fibril stability of type-I collagen. It was found that capsaicin suppresses collagen fibril formation, increases the stabi...
ABSTRACT We use a network-theoretic approach to address questions about the evolution of food-web characteristics under fluctuating environments. Our model is a weighted, directed graph with nodes representing populations and edges the interactions between them. The dynamics,of the network are driven by stochastic generalized Lotka-Volterra equatio...
In this paper, we report on the on-going research that aims to pro- vide a more realistic model of the evolution of networks, especially, ecological networks. Three related ideas are pursued in parallel: 1) Auto-Catalytic Sets (ACS) population dynamics simulation is imple- mented for a simple model which can model reacting chemical species; 2) Give...