| India Science, Technology & Innovation

Development of computational and visualisation software for evaluating GPCR targeting drugs with the aim of mitigating coronavirus infection level

In this study, an algorithm driven by statistical modelling paradigm is planned to be built that can be used to observe the dynamic movement of viral load in cells, host protein expression and extracellular viral load under a simulation environment.

Section: Pharmaceutical Sciences (Research Project)

Development of fluorescent human transmembrane serine protease 2 (TMPRSS2) activity sensor for rapid screening of inhibitors in vitro and in living cells to combat human COVID-19 and other respiratory infections.

This study aims to develop a genetically encoded FRET sensor for TMPRSS2 containing a CFP-substrate-YFP module that can be tested under in-vitro and also in living cells. The project proposes to do following experiments: 1. Generation of mTurquoise-h

Section: Chemical Sciences (Research Project)

Development of machine learning-based drug repurposing pipeline against SARS-CoV-2 and human proteome

The study intends to develop artificial intelligence (AI) driven, integrative, antiviral drug repurposing platform.

Section: Pharmaceutical Sciences (Research Project)

Development of rapid electrochemical-based diagnostics for detection of SARS-CoV-2 infection

The project is to design and develop more sensitive advanced rapid electrochemical-based diagnostic devices for detection of IgM-IgG antibody (combined and separately) for SARS-CoV-2 infection using recombinant nucleoprotein, which would pave the way

Section: Medical Sciences (Research Project)

Development of vaccine immunogens to induce potent neutralising antibodies against novel coronavirus (SARS-CoV-2)

The project aims to design next-generation immunogens based on RBD and whole ectodomain spike in order to elicit potent neutralising antibodies against the novel coronavirus and further to evaluate immunogen delivery via efficient viral vector (Adeno

Section: Life Sciences & Biotechnology (Research Project)

Discovery of structure-based antivirals against SARS-CoV-2 targeting key viral genome replication enzymes

The project proposes to use structure-based screening of antivirals against SARS- CoV-2 targeting key viral genome replication enzymes such as viral protease that are responsible for the cleavage of non-structural polyprotein and their activation; RN

Section: Pharmaceutical Sciences (Research Project)

Drug repurposing against key COVID-19 drug targets using advance machine learning-based algorithms

The aim of this study is to develop a model harnessing AI and ML approaches that is able to select and prioritise drugs according to descriptor properties in a lesser time.

Section: Pharmaceutical Sciences (Research Project)

Efficient prediction strategy of COVID-19 based on pandemic data and immunoinformatics, integrated on artificial intelligence (AI) platform

In this study, COVID-19 detection strategy is developed based on clinical features (blood profiles, cytokines levels etc.) obtained from various hospitals across the globe (published data). This study aims to develop an artificial intelligence platfo

Section: Computer Sciences and Information Technology (Research Project)

FTIR-based ultrafast detection and quantitative assessment of COVID-19 viral load

This study aims to use infrared spectroscopy or FTIR to detect and quantify the viral presence and load in patients.

Section: Medical Sciences (Research Project)

Identification of possible cure of COVID-19 through study of DNA structures through iterated function systems

This study aims at the representation of several virus species through their genome structure by using various dynamical models to obtain dynamic portraits of virus DNA and to compare with the DNA structure of other viruses or bacteria to find a poss

Section: Life Sciences & Biotechnology (Research Project)

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Development of computational and visualisation software for evaluating GPCR targeting drugs with the aim of mitigating coronavirus infection level

Development of fluorescent human transmembrane serine protease 2 (TMPRSS2) activity sensor for rapid screening of inhibitors in vitro and in living cells to combat human COVID-19 and other respiratory infections.

Development of machine learning-based drug repurposing pipeline against SARS-CoV-2 and human proteome

Development of rapid electrochemical-based diagnostics for detection of SARS-CoV-2 infection

Development of vaccine immunogens to induce potent neutralising antibodies against novel coronavirus (SARS-CoV-2)

Discovery of structure-based antivirals against SARS-CoV-2 targeting key viral genome replication enzymes

Drug repurposing against key COVID-19 drug targets using advance machine learning-based algorithms

Efficient prediction strategy of COVID-19 based on pandemic data and immunoinformatics, integrated on artificial intelligence (AI) platform

FTIR-based ultrafast detection and quantitative assessment of COVID-19 viral load

Identification of possible cure of COVID-19 through study of DNA structures through iterated function systems

विज्ञान एवं प्रौद्योगिकी विभाग

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Science and Technology

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