Structural Analysis of the LZTFL1 Protein by Principal Component Analysis (PCA-seq)

Objective: The single-nucleotide mutation rs17713054G>A in the promoter region of LZTFL1 (leucine zipper transcription factor like 1) gene is a factor in the severe course of coronavirus infection COVID-19. Structure of coded protein is not studied well still. Methods: We used the principal component analysis (PCA-seq) for computer statistical analysis of protein LZTFL1 aminoacid sequence. Results and Discussion: It is revealed that the presence of a high correlation between the first principal component of the translated amino acid sequence and eleven amino acid indices of the AA-index database, characterizing the physicochemical and biochemical properties of the protein. The indices BEGF750102, CHOP780209, PALJ810110, GEIM800107, QIAN880121, LEVM780102, PRAM900103 are associated with β-folding parameters. The LZTFL1 protein is part of the Bardet-Biedl Syndrome (BBS) protein complexes that regulate intracellular transport in the ciliated epithelium of the lungs. Conclusions: It is assumed that the presence of β-sheet elements in the structure of the LZTFL1 protein plays an important role in ACE2 receptor-mediated endocytosis, stimulating the rate of angiotensin-converting enzyme 2 recycling and accelerating the delivery of adherented coronavirus SARS-CoV-2 virions into the cell followed by the initiation of severe acute respiratory syndrome COVID-19.

Authors

Institutions

Publication Details

Journal
Russian Journal of Bioorganic Chemistry
Published
2024-12-01
DOI
https://doi.org/10.1134/s1068162024060244
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Analysis of the LZTFL1 Protein by Principal Component Analysis (PCA-seq)

В. М. Ефимов, И. И. Хегай, Yu Xiao
Russian Journal of Bioorganic Chemistry
RNA and protein synthesis mechanisms
article

Structural Analysis of the LZTFL1 Protein by Principal Component Analysis (PCA-seq)

В. М. Ефимов, И. И. Хегай, Yu Xiao
article en

Abstract

Objective: The single-nucleotide mutation rs17713054G>A in the promoter region of LZTFL1 (leucine zipper transcription factor like 1) gene is a factor in the severe course of coronavirus infection COVID-19. Structure of coded protein is not studied well still. Methods: We used the principal component analysis (PCA-seq) for computer statistical analysis of protein LZTFL1 aminoacid sequence. Results and Discussion: It is revealed that the presence of a high correlation between the first principal component of the translated amino acid sequence and eleven amino acid indices of the AA-index database, characterizing the physicochemical and biochemical properties of the protein. The indices BEGF750102, CHOP780209, PALJ810110, GEIM800107, QIAN880121, LEVM780102, PRAM900103 are associated with β-folding parameters. The LZTFL1 protein is part of the Bardet-Biedl Syndrome (BBS) protein complexes that regulate intracellular transport in the ciliated epithelium of the lungs. Conclusions: It is assumed that the presence of β-sheet elements in the structure of the LZTFL1 protein plays an important role in ACE2 receptor-mediated endocytosis, stimulating the rate of angiotensin-converting enzyme 2 recycling and accelerating the delivery of adherented coronavirus SARS-CoV-2 virions into the cell followed by the initiation of severe acute respiratory syndrome COVID-19.

Russian Journal of Bioorganic ChemistryVol. 50(6)
Novosibirsk State University (RU), Institute of Cytology and Genetics (RU)
Zero hunger
Openalex Percentile: Top 80%
RNA and protein synthesis mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.