Tyrosine sites in protein phosphorylation
| dc.contributor.author | Farooq, Hamza | |
| dc.contributor.author | Turab Abbasi, Ali | |
| dc.contributor.author | Saleem, Moeed | |
| dc.date.accessioned | 2018-01-08T04:59:26Z | |
| dc.date.available | 2018-01-08T04:59:26Z | |
| dc.date.issued | 2017 | |
| dc.description | Supervise d by:Dr. Yaser Dannial Khan | en_US |
| dc.description.abstract | In the past the distinguishing proof of phosphorylation locales system was done in labs. This procedure was typically exceptionally time taking and exorbitant and was difficult as well. This was an extremely insufficient and wasteful way. So with a specific end goal to take out the difficulties that are happening in this past strategy there is a vital requirement for creating or developing such a computational procedure for anticipating phosphorylation destinations that can take care of this issue in a brief timeframe and utilizing less assets. The fundamental procedure or approach that in this exploration extend for anticipating phosphorylation destinations incorporates the different strides that starts right off the bat with getting or gathering the exploratory checked information from the uniprot site in regards to the arrangement of amino acids in the wake of gathering the information the following stride will go to concentrate feature vectors from it and after that by utilizing these feature vectors the procedure will go to begin preparing of the information utilizing neural system in the outcome of which the system wind up noticeably ready to recognize the those sites of protein on which phosphorylation should be possible. | en_US |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/2395 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Management and Technology Lahore | en_US |
| dc.subject | Computational procedure | en_US |
| dc.subject | Uniprot site | en_US |
| dc.title | Tyrosine sites in protein phosphorylation | en_US |
| dc.type | Thesis | en_US |
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