To identify and evaluate the biases in the datasets for improving the performance of ML-based models in predicting binding affinities. To generate an ultra-large synthetic dataset for protein-ligand binding affinities using MD simulations., To genera
Identification of various targets associated with different neurodegenerative diseases using text mining of literature available in PubMed. Downloading the datasets of inhibitors for all the targets from ChEMBL using python API (ChEMBL_client).
Two wheelers are a popular means of transportation in India. There are millions of bikes in every major Indian city, with total estimates of around 50 million across the country. However, there are no mandatory standard safety instalments in bikes, a
Every society flows onto its roads and develops processes and systems of transportation of people and commodities. Roads include myriad forms of spatial dynamics due to the diversity of social relations it engenders. The anthropological research on r
we aim to explore the development of driving simulator for Indian road conditions. We propose to build a portable triple monitor driving simulator platform setup with cost e↵ective hardware and open-source software in order to model driver behavio
The key goal in the first objective is to develop an automated framework for sleep stage classification. As there is a scarcity of publicly available PSG data from Indian cohorts, we aim to perform sleep analysis from the data collected from the slee
Healthy participants will be recruited through advertisements to participate in this study. A QnA session will be held to encourage participation. Volunteers who sign up will provide consent before proceeding to the subsequent sessions.
The basic principle of detection is to measure the colorimetric variation developed after mixing blood serum with reagents. This color change is measured in the existing analyzer by measuring the absorbance, which requires a robust optical assembly,
All disease stages of stroke and adults (18 years or older, with no upper limit of age) were included. Articles reporting participants other than patients with stroke (e.g. patients with cerebral palsy and neurodegenerative disorders) were excluded.
The early detection of glaucoma is important in preventing visual impairment [8]. We propose to build an AI-based application (based on the regression Convolutional Neural Network model) that can accurately detect glaucoma in the Indian population (F
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