Browsing by Author "SHAHBAZ AHMAD"

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    Analysis of sewing room problems for different type of garments and their possible remedies and practical solutions
    (UMT.Lahore, 2006) SHAHBAZ AHMAD
    The basic purposes of internship to get know how about practical knowledge and apply theoretical concepts on practical issues. This project is about the stitching problems, their solutions and reasons why these faults occurred and what are their practical solutions. In this project mainly I discussed about Akbar Enterprises sewing room problems as well as overall stitching problems and their remedies. I described in the initial what is stitching and what are the main operations of stitching which performed in stitching hall. Then discussed sewing room problems related to machine and after this mentioned in the project sewing room problems related to garments and entirely discussed their solutions and reasons of occurance.
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    Computational analysis of variants of uncertain significance of pus7 gene
    (UMT Lahore, 2023-09-14) GHOSIA NOREEN; SHAHBAZ AHMAD; NIDA NADEEM
    Intellectual disability is a rare autosomal recessive disorder characterized by mental retardation, limitations in the cognitive abilities and adaptive functioning of an individual. It is caused by mutations in PUS7 gene which is present on chromosome 7 of human genome encoding protein pseudo uridine Synthase. The enzyme catalyzes the conversion of Uridine into Pseudo uridine during the transcriptional process which stabilizes the RNA as part of post-transcriptional modification. In this study, we applied in-silico analysis to predict the most deleterious missense and splice site mutations in PUS7 gene and their impact on stability, function, post translational modification of pseudouridine synthase. For that purpose, a variety of bioinformatics tools based on different algorithms were utilized. CADD and MetaSNP were used to analyze diseased missense variants. Moreover, PTM analysis was by using ScanProsite which showed three variants lying in those regions. CADD and MetaSNP tools were used to predict pathogenic variants. Out of 217 missense variants, 38 variants were considered pathogenic by both the missense tools. The splice site analysis was performed on 39 variants left after CADD analysis by using spice and splice AI. Moreover, PTM analysis was by using ScanProsite which showed three variants p.Ile352Thr, p.Tyr330Cys and p.Thr299Lys lying in those regions. Out these only one variant is observed on the exposed part of the protein i.e., p. Tyr330Cys. These findings can be very helpful for scientists in the future as they can directly target these mutations in order to produce certain medications and drugs.