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Biology subjects

Dash, N.

Publications and source records attributed to Dash, N..

2 recordsLinked to original sources

Unraveling the distinct motion bias of TrkA-NGF complex in NGFR100W-driven HSAN V disease

Nerve growth factor (NGF), which binds to tropomyosin-related kinase A (TrkA) receptor, plays essential roles in neuronal survival and function and is also a potent mediator of pain sensation. Mutations in NGF, particularly NGFR100W, cause hereditary sensory autonomic neuropathy V (HSAN V), which is characterized by insensitivity to pain but without impairment of neurotrophin function. Even though several studies reported the mechanism of growing HSAN V disease, the dynamic mechanisms that dictate its functional specificity remain unclear. In this study, we performed a microsecond scale molecular dynamics (MD) simulation to elucidate the changes in the structural dynamics of NGF by NGFR100W at an atomic level to dissect the distinct motion bias for specific TrkA functions. We found that the NGFR100W reduced NGF dimerization while its binding to the TrkA remained unchanged. NGFR100W enhanced the magnitude of bond formation in the different regions from TrkA, which induced different correlated and dynamic motions associated with impaired nociceptive signaling. The dynamics scenario from this study, shedding light on the deleterious role of NGFR100W, provides new structural insights into the function-oriented dynamics motion of the TrkA-NGF complex, offering potential avenues for designing new therapeutics.

neuroscience↗

Elucidating conformational alteration of human islet amyloid polypeptide by nonsynonymous substitution

Islet amyloid polypeptide (IAPP) is a peptide hormone that serves multiple essential functions, including metabolism and regulating gastric emptying and satiation through amylin receptors. However, mutations in the IAPP, notably in the amyloidogenic segment (20-29 amino acid residues), cause its aggregation and amyloid formation, which leads to {beta}-cell toxicity and death in type 2 diabetes mellitus (T2DM) and protein misfolding disorders (PMDs). The current work aims to elucidate the non-synonymous variants in the IAPP, which may adversely affect its function and rise to T2DM and PMDs. We harnessed in silico non-synonymous single-nucleotide polymorphisms (nsSNPs) assessment and molecular dynamics (MD) simulation to discover the potential deleterious mutants that cause T2DM and PMDs. Firstly, we executed nsSNPs prediction in IAPP using the NCBI dbSNP server, and then, all the predicted nsSNPs were assessed by a total of 26 in silico tools to find out which possessed the most deleterious effect in IAPP. Finally, MD simulation was carried out utilizing the most deleterious nsSNPs to check which significantly alters the conformational dynamics of IAPP. We found a total of 62 nsSNPs, among which the top 4 deleterious nsSNPs (T37P, L45P, G66R, and T69I) were selected based on the deleteriousness predictions by in silico tools and their location in the mature IAPP sequence (34-70 amino acid residues). MD simulations further confirm that three variants (T37P, L45P, and G66R) significantly alter the conformational dynamics of IAPP, suggesting a potential starting point for future research to elucidate the roles of these variants in IAPP aggregation and amyloid formation and their associations with T2DM and PMDs.

biophysics↗