In silico Analysis of Candidate Genes Involved in Sanfilippo Syndrome
Sanfilippo syndrome is an autosomal recessive lysosomal storage disorder, caused by the deficiency of enzymes that play an important role in degradation of glycosaminoglycans and also called mucopolysaccharidosis III. Mucopolysaccharidosis is genetic disorder. Here, we searched the candidate genes f...
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| Format: | Article |
| Language: | English |
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Bulgarian Academy of Sciences
2015-04-01
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| Series: | International Journal Bioautomation |
| Subjects: | |
| Online Access: | http://www.biomed.bas.bg/bioautomation/2015/vol_19.1/files/19.1_01.pdf |
| _version_ | 1819074422940631040 |
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| author | Mehreen Zaka Mawra Komal Shagufta Shafique Shaheen Shahzad |
| author_facet | Mehreen Zaka Mawra Komal Shagufta Shafique Shaheen Shahzad |
| author_sort | Mehreen Zaka |
| collection | DOAJ |
| description | Sanfilippo syndrome is an autosomal recessive lysosomal storage disorder, caused by the deficiency of enzymes that play an important role in degradation of glycosaminoglycans and also called mucopolysaccharidosis III. Mucopolysaccharidosis is genetic disorder. Here, we searched the candidate genes for Sanfilippo syndrome by using BLAST with the query sequence. As no suitable homology was found against the query sequence we moved towards threading approach. The threading approach was carried out by employing online CPH models and LOMETS tools. Through present research, domains of the proteins were predicted by utilizing the Domain Sweep tools, GNS and two domains were reported. Motif search reported the maximum number of motifs for Type D protein as compared to other types. All four proteins were totally soluble proteins and no transmembrane domains were found. In future, these results and predicted 3D structures can be used for the molecular docking studies, binding activities and protein-protein interactions for all the four types of Sanfilippo syndrome. |
| first_indexed | 2024-12-21T18:09:16Z |
| format | Article |
| id | doaj.art-453d6827f4bf4a2a992b845a11e5492b |
| institution | Directory Open Access Journal |
| issn | 1314-1902 1314-2321 |
| language | English |
| last_indexed | 2024-12-21T18:09:16Z |
| publishDate | 2015-04-01 |
| publisher | Bulgarian Academy of Sciences |
| record_format | Article |
| series | International Journal Bioautomation |
| spelling | doaj.art-453d6827f4bf4a2a992b845a11e5492b2022-12-21T18:54:49ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212015-04-01191514In silico Analysis of Candidate Genes Involved in Sanfilippo SyndromeMehreen Zaka0Mawra KomalShagufta ShafiqueShaheen ShahzadDepartment of Bioinformatics and Biotechnology, International Islamic University Islamabad, H-10 Sector Islamabad, PakistanSanfilippo syndrome is an autosomal recessive lysosomal storage disorder, caused by the deficiency of enzymes that play an important role in degradation of glycosaminoglycans and also called mucopolysaccharidosis III. Mucopolysaccharidosis is genetic disorder. Here, we searched the candidate genes for Sanfilippo syndrome by using BLAST with the query sequence. As no suitable homology was found against the query sequence we moved towards threading approach. The threading approach was carried out by employing online CPH models and LOMETS tools. Through present research, domains of the proteins were predicted by utilizing the Domain Sweep tools, GNS and two domains were reported. Motif search reported the maximum number of motifs for Type D protein as compared to other types. All four proteins were totally soluble proteins and no transmembrane domains were found. In future, these results and predicted 3D structures can be used for the molecular docking studies, binding activities and protein-protein interactions for all the four types of Sanfilippo syndrome.http://www.biomed.bas.bg/bioautomation/2015/vol_19.1/files/19.1_01.pdfMucopolysaccharidosisSanfilippo syndromeStructure predictionBioinformatics |
| spellingShingle | Mehreen Zaka Mawra Komal Shagufta Shafique Shaheen Shahzad In silico Analysis of Candidate Genes Involved in Sanfilippo Syndrome International Journal Bioautomation Mucopolysaccharidosis Sanfilippo syndrome Structure prediction Bioinformatics |
| title | In silico Analysis of Candidate Genes Involved in Sanfilippo Syndrome |
| title_full | In silico Analysis of Candidate Genes Involved in Sanfilippo Syndrome |
| title_fullStr | In silico Analysis of Candidate Genes Involved in Sanfilippo Syndrome |
| title_full_unstemmed | In silico Analysis of Candidate Genes Involved in Sanfilippo Syndrome |
| title_short | In silico Analysis of Candidate Genes Involved in Sanfilippo Syndrome |
| title_sort | in silico analysis of candidate genes involved in sanfilippo syndrome |
| topic | Mucopolysaccharidosis Sanfilippo syndrome Structure prediction Bioinformatics |
| url | http://www.biomed.bas.bg/bioautomation/2015/vol_19.1/files/19.1_01.pdf |
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