COVID-19 (6LU7) predictive binding association with Aβ oligomers and possible link to Alzheimer's disease / (Record no. 609040)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02996nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Khan, Areej Sohail |
| 245 ## - TITLE STATEMENT | |
| Title | COVID-19 (6LU7) predictive binding association with Aβ oligomers and possible link to Alzheimer's disease / |
| Statement of responsibility, etc. | Areej Sohail Khan |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 74p. |
| Other physical details | Soft Copy |
| Dimensions | 30cm |
| 500 ## - GENERAL NOTE | |
| General note | The high rise pandemic of Coronavirus Disease 2019 (COVID-19) makes the world<br/>face medical challenges associated with multifaceted nature of its pathology. SARSCoV-2 affects several organs and systems as it enters the host’s body one of which<br/>is the brain. Over 80 million humans around the globe, including those with<br/>neurodegenerative disease (NDD), have been diagnosed with coronavirus disease<br/>2019 (COVID-19) to date. COVID-19 affects the brain in many ways including<br/>direct infection of neural cells with SARS-CoV-2, severe systemic inflammation that<br/>floods the brain with pro-inflammatory agents leading to damaging cells and leading<br/>to symptoms presenting cognitive impairment. COVID-19 positive patients<br/>showcase neurological symptoms leading to the belief that coronavirus disease plays<br/>a role in neurodegenerative diseases. The most common NDD, Alzheimer’s disease<br/>(AD) is characterized by its multifactorial nature leading to research on risk factors<br/>that emphasizes on the inflammation of toxicity and mutual death of cells due to<br/>amyloid beta and its conformers, namely monomeric and oligomeric forms.<br/>Amyloid beta oligomers initiate toxicity and neural death of cells in AD. The main<br/>aim of this study is to decipher the interactive association between toxic forms of<br/>amyloid beta oligomer against COVID-19 main protease. We used PDB and<br/>Pubchem for library retrieval that was loaded in to discovery studio to extract the<br/>active binding site of main protease of SARS-CoV-2 and prepare ligands for<br/>docking. Furthermore, we utilized PyRx for docking to investigating binding<br/>energies of conformations attained, the best affinity ligands were formed into a<br/>complex by the use of Pymol that were than visualized using Discovery studio where<br/>2D interactions were also observed that later were further analyzed using Ligplot+<br/>to get an insight on bond length and strength along with bond types. Aβ oligomer<br/>31-35 binds actively to the active site of M-pro of SARS-CoV-2 at a high affinity<br/>rate of -6.3kcal/mol. 6LU7 complex with amyloid 31-35 (Complex 1) when docked<br/>XII<br/>with the receptor of apoptotic pathway showed enhanced predictive association.<br/>Bioinformatics tools in this research substantiated the important interactive partners<br/>amongst amyloid oligomers to COVID-19 highlighting that SARS-Cov-2 may play<br/>a role in apoptotic demise of cells ultimately leading to neurodegeneration. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Biomedical Sciences (BMS) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Saima Zafar |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/30881">http://10.250.8.41:8080/xmlui/handle/123456789/30881</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 05/10/2024 | 610 | SMME-TH-747 | Thesis |