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A computational based approach for studying synaptic cell Adhesion / (Record no. 74538)

MARC details
000 -LEADER
fixed length control field 02912cam a2200313 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191015s2019 ua d f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level Ph.D
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.18.02.Ph.D.2019.As.C
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Ashraf Mohamed Hassan Hendam
245 12 - TITLE STATEMENT
Title A computational based approach for studying synaptic cell Adhesion /
Statement of responsibility, etc. Ashraf Mohamed Hassan Hendam ; Supervised Hesham Ahmed Hefny , Ahmed Farouk Alsadek
246 15 - VARYING FORM OF TITLE
Title proper/short title اسلوب حسابى لدراسة التصاق الخلايا المتشابكة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Ashraf Mohamed Hassan Hendam ,
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 117 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Computer and Information Science
520 ## - SUMMARY, ETC.
Summary, etc. Central Nervous System is responsible for passing signals from all the body to the brain to process it. Brain consists of neurons which are cells that convey information about the world around us, help us make sense of the world and send commands to our muscles to act. Synaptic cell adhesion is connecting neurons in order to establish a network. Neurexins and Neuroligins proteins are two binding partners which represent the core of the synaptic cell adhesion. Neurexin1 gene is playing an important role in synaptic formation, plasticity and maturity. Studies have reported non-synonymous SNPs in Neurexin1 in some diseases. The current thesis is aiming to apply a computational approach for studying the effects of non-synonymous Single Nucleotide Polymorphisms (SNPs) recoded Neurexin1 in diseases patients. The methodology has been implemented in two steps. The first step aims to identify deleterious SNPs, determine damaged protein features (function, stability) and recognize potential protein regions for future research. The effect on protein function is predicted by PROVEAN, SIFT and PolyPhen-2 tools while protein stability is predicted by MUpro and I-Mutant2.0 tools. Prediction results have identified 2 SNPs to be deleterious by all tools and two additional SNPs have agreement between protein function prediction tools and MUpro from stability tools. Higher deleterious prediction results in the stability tools with the percentages of 72%, 78% than the function tools with 25%, 41% and 47%. Agreement percentage of deleterious prediction between stability tools was 56% while 12.5% in the function tools. The identified regions of Neurexin1 for future research are SP and LNS4
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Molecular Dynamic Simulation
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Neurexin 1 gene
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Synaptic cell Adhesion
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ahmed Farouk Alsadek ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hesham Ahmed Hefny ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Asmaa
Reviser Cataloger
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.18.02.Ph.D.2019.As.C 01010110079638000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.02.Ph.D.2019.As.C 01020110079638000 22.09.2023 CD - Rom 79638.CD