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Nidhi Chadha

Researcher at University of Delhi

Publications -  20
Citations -  200

Nidhi Chadha is an academic researcher from University of Delhi. The author has contributed to research in topics: Docking (molecular) & Radioligand. The author has an hindex of 7, co-authored 20 publications receiving 139 citations. Previous affiliations of Nidhi Chadha include Defence Research and Development Organisation.

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Prospective atom-based 3D-QSAR model prediction, pharmacophore generation, and molecular docking study of carbamate derivatives as dual inhibitors of AChE and MAO-B for Alzheimer’s disease

TL;DR: 3D-QSAR hybrid model for dual enzymes provides basis for new structural scaffold that would serve as building blocks in designing drug-like molecules for Alzheimer’s disease.
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A New SiF–Dipropargyl Glycerol Scaffold as a Versatile Prosthetic Group to Design Dimeric Radioligands: Synthesis of the [18F]BMPPSiF Tracer to Image Serotonin Receptors

TL;DR: The present study warrants wide application of the SiX–dipropargyl glycerol prosthetic group in the development of ligands for imaging with enhanced affinity markers for specific targeting based on peptides, nucleosides, and lipids.
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Computational prediction of interaction and pharmacokinetics profile study for polyamino-polycarboxylic ligands on binding with human serum albumin

TL;DR: A computational investigation including a binding analysis and interaction study of polyamino-polycarboxylic ligands with HSA was conducted, which described the relevant pharmacokinetics and pharmacodynamics of these ligands for gadolinium-based MRI agents (GBCA).
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Synthesis and biological evaluation of newly designed phosphonate based bone-seeking agent.

TL;DR: The preliminary CADD analysis confirms the efficacy of DO3MP-EA as better binding agent for osteocalcin (pdb 1Q8H) rather than other known clinical agents.
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In silico thermodynamics stability change analysis involved in BH4 responsive mutations in phenylalanine hydroxylase: QM/MM and MD simulations analysis

TL;DR: Single-site mutational analysis of PAH is presented where single-site mutations have been identified from known literature and designed non-reduced BH2 designed co-factors are validated.