0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Bioinformatics and computational Studies on Highly Conserved Neurocalcin Protein
نویسندگان :
Ali Eyvazi
1
Khosrow Khalifeh
2
Emran Heshmati
3
1- دانشگاه زنجان
2- دانشگاه زنجان
3- دانشگاه زنجان
کلمات کلیدی :
Neurocalcin،bioinformatics analysis،EF-hand motif
چکیده :
Neuronal Calcium Sensors are a class of calcium-binding proteins that play important roles in various neural functions, including calcium signaling processes. Neurocalcin, a member of this protein family, contains 193 residues (Ivings et al., 2002). Its 3D structure has been determined for the Bos taurus (Bovine) variant. The aim of this study is to conduct a bioinformatics analysis on the sequence and structure of Neurocalcin to develop a biological model for its evolution. The protein sequence and its corresponding information were obtained from the UniProt database (ID: P61601). (Bateman et al., 2021). A similarity search using the local pairwise alignment algorithm implemented in the BLAST program (McWilliam et al., 2013) revealed that the protein is present in 250 different species, of which eight variants are experimentally reviewed proteins. Multiple sequence alignment of the reviewed sequences using the Clustal Omega program (Sievers et al., 2011) surprisingly showed that only two positions have been permitted to accept the random mutations during the evolutionary timescale. The high conservation of the sequence among different organisms suggests that it has been evolutionarily optimized to recognize various targets, limiting its ability to tolerate sequence changes. In other words, any change in the sequence could be deleterious for the organism due to the loss of its ability to interact with some targets. This hypothesis is consistent with the current activity data, which indicates that the protein functions through interactions with other neural system proteins. Dot Plot analysis revealed that Neurocalcin contains four repeating regions, which are the calcium-binding EF-hand motifs.(Burgoyne, 2007) Structurally, it has been reported that among the four calcium-binding loops, only loops II, III, and IV are capable of coordinating calcium ions, while loop I has lost its calcium-binding function. Our computational study suggests that the first loop, which is distinguished from the others by a unique Cys-Pro dipeptide, is involved in dimerization of the protein. We conclude that the dimeric form of the protein, containing six calcium ions and a larger surface area compared to the monomeric form, may be the functional unit. The increased surface area of the dimer could enable simultaneous interactions with two or more targets, allowing the protein to function more effectively. According to our model, the evolution of the Neurocalcin involve multitarget and simultaneous binding to various targets. The first one limits its tolerance against random mutations leading to high level of identity between its sequence in various organisms, and the second parameter needs more surface area which is obtained by dimerization of the protein due to losing calcium binding affinity at the first EF-hand loop.
لیست مقالات
لیست مقالات بایگانی شده
Diabetes nephropathy indicators for early diagnosis
Sedigheh Momenzadeh - Masumeh Jalalvand - Reza Nedaeinia
Enhancing the Clustering and Sorting Procedures in the MAGUS Method for Multiple Sequence Alignment
Masih Hajsaeedi - Mohsen Hooshmand
Phylogenetic Insights into Enzybiotic with Novel Properties
Arman Hasannejad - Arad Ariaeenejad - Donya Afshar Jahanshahi - Mohammad Reza Zabihi - Shohreh Ariaeenejad - Kaveh Kavousi
Investigating hsa-miR-146b and Its Targets TRAF6 and IRAK1 In Gastric Cancer Using Bioinformatic Tools
Ali Nosrat - Vahid Asghariazar - Elham Safarzadeh
In Silico Design and Evaluation of a Multi-Epitope Vaccine Candidate Against Escherichia coli and Staphylococcus aureus Involved in Bovine Clinical Mastitis
Aryan Ghorbani - Negin Khalili-samani - Maryam Amirinia - Faezeh Jazayeri-soreshjani - Faranak Ravanan - Mohammad Oveysi-rastabi - Abbas Doosti
A Contrastive Learning Framework for Single-Cell Multi-Omics Data Integration
Amir Ebrahimi - Alireza Fotuhi Siahpirani - Hesam Montazeri
Combination therapy synergism prediction for virus treatment using machine learning models
Shayan Majidifar - Arash Zabihian - Mohsen Hooshmand
Identification of circRNA-miRNA-mRNA Interaction in Myocardial Infarction
Amir Hesam Pahlevani - Ashkan Nazari - Kiarash Zare - Mohammad Ghorbani - Abdolhakim Aalkamel - Mohammad Mehdi Naghizadeh
Morphine pathway analysis with bioinformatics
Nazila Bagheri - Alireza Tarinejad - Mohammad Majidi - Karim Hassanpour
Element-Specific Estimation of Background Mutation Rates in Whole Cancer Genomes Through Transfer Learning
ّFarideh Bahari - Reza Ahangari Cohan - Hesam Montazeri
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.7.0