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LSDDB: Lysosomal Storage Disorder Database for Lysosomal Proteins and Their Single Amino-Acid Substitutions.

Authors :
Paul, D. Meshach
Chandrasekhar, G.
Srinivasan, E.
Sekar, P. Chandra
Lavinya, B. Udhaya
Rajasekaran, R.
Source :
Journal of Computational Biophysics & Chemistry. Aug2023, Vol. 22 Issue 5, p589-603. 15p.
Publication Year :
2023

Abstract

Lysosomal storage diseases (LSDs) consist of about 60 different monogenic disorders. Most of them occur due to protein misfolding. Only a few of those have been treated with molecular chaperones; the remaining either have limited treatment options or only management therapies. About 1860 single amino-acid substitutions (SAS) have been identified under LSDs. Merely, a handful of mutations have been studied experimentally. Availability of computational tools has made researchers turn toward genetic disorders to focus light on unexplored disorders and their mutations. Since all the LSDs are rare genetic disorders, not much research is carried out in this area. However, a mutational effect on protein function could be predicted, through bioinformatics tools. On that note, out of 1860 SAS, 58 predictions were neutral and 778 were predicted to be disease associated by all programs included in this study. The result of the prediction analysis of all mutations in each of the LSDs is curated into a database. This would make researchers know the deleterious nature of a mutation causing LSD. The database is available at http://lsddb.vit.ac.in:3000/. Lysosomal storage diseases (LSDs) are rare yet cytotoxic inherent metabolic aberrations, elucidated by excess accumulation of biomolecular substrates in cells of various organs, due to lysosomal defective functioning. To formulate effective analeptics against this detrimental and potentially life-threatening affliction, and to better comprehend the pathological mechanism behind LSDs, it is essential to know the integral detrimental mutations that actuate LSDs. To make researchers and the general populace aware of this pertinent information, we have designed a database that includes all the disorders categorized under LSDs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27374165
Volume :
22
Issue :
5
Database :
Academic Search Index
Journal :
Journal of Computational Biophysics & Chemistry
Publication Type :
Academic Journal
Accession number :
164629811
Full Text :
https://doi.org/10.1142/S273741652350028X