Computational prediction of eight E2F transcription factors (E2Fl-E2F8) in homo sapiens / Noor Asri Ibrahim Chandran

The family members of Homo sapiens E2F proteins are the transcnption factors responsible for the regulation of genes interplay in cell cycle routines. Presently, there are eight members of E2F proteins with few of them represent multiple isomers. The relatedness and interconnection of their regulato...

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Main Author: Ibrahim Chandran, Noor Asri
Format: Thesis
Language:English
Published: 2009
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Online Access:https://ir.uitm.edu.my/id/eprint/105846/1/105846.PDF
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spelling my-uitm-ir.1058462024-12-10T23:08:37Z Computational prediction of eight E2F transcription factors (E2Fl-E2F8) in homo sapiens / Noor Asri Ibrahim Chandran 2009 Ibrahim Chandran, Noor Asri Pharmaceutical industry Pharmaceutical chemistry The family members of Homo sapiens E2F proteins are the transcnption factors responsible for the regulation of genes interplay in cell cycle routines. Presently, there are eight members of E2F proteins with few of them represent multiple isomers. The relatedness and interconnection of their regulatory principle has strong grounding basis with the protein sequences. In this study, the amino acid similarity comparison of the eight E2F proteins generated predicted similarity as high as 74 percent (E2F4 and E2F5) with most of them within the range of 30 - 40 percent. Phylogenetic classification presented the E2F transcription factors to be classified into three major subgroups comprising E2Fl-3 in subgroup 1, E2F4, 5, 7, and 8 in subgroup 2, and E2F6 solely in subgroup 3. In characterization oftransmembrane helices, only four of them predicted to have transmembrane domain (E2Fl, one TM; E2F3, two TM; E2F7, three TM; and E2F8, three TM). The E2F proteins also predicted to localise in nuclear of the cell except for E2F3 (in extracellular) and E2F8 (in cytoplasmic). Amino acid similarity comparison between the E2F proteins with protein data bank (PDB) resulted in similarity as high as 100 percent (E2F4 with ICF7) with other comparison generated similarities higher than 39 percent. These prediction analyses demonstrated significant findings on the molecular similarity relationship between the eight E2F transcription factors. The similarities and deviation among the eight members would provide in deep idea documenting their functionality. 2009 Thesis https://ir.uitm.edu.my/id/eprint/105846/ https://ir.uitm.edu.my/id/eprint/105846/1/105846.PDF text en public degree Universiti Teknologi MARA (Kampus Puncak Alam) Faculty of Pharmacy Mohamed, Ruzianisra
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mohamed, Ruzianisra
topic Pharmaceutical industry
Pharmaceutical chemistry
spellingShingle Pharmaceutical industry
Pharmaceutical chemistry
Ibrahim Chandran, Noor Asri
Computational prediction of eight E2F transcription factors (E2Fl-E2F8) in homo sapiens / Noor Asri Ibrahim Chandran
description The family members of Homo sapiens E2F proteins are the transcnption factors responsible for the regulation of genes interplay in cell cycle routines. Presently, there are eight members of E2F proteins with few of them represent multiple isomers. The relatedness and interconnection of their regulatory principle has strong grounding basis with the protein sequences. In this study, the amino acid similarity comparison of the eight E2F proteins generated predicted similarity as high as 74 percent (E2F4 and E2F5) with most of them within the range of 30 - 40 percent. Phylogenetic classification presented the E2F transcription factors to be classified into three major subgroups comprising E2Fl-3 in subgroup 1, E2F4, 5, 7, and 8 in subgroup 2, and E2F6 solely in subgroup 3. In characterization oftransmembrane helices, only four of them predicted to have transmembrane domain (E2Fl, one TM; E2F3, two TM; E2F7, three TM; and E2F8, three TM). The E2F proteins also predicted to localise in nuclear of the cell except for E2F3 (in extracellular) and E2F8 (in cytoplasmic). Amino acid similarity comparison between the E2F proteins with protein data bank (PDB) resulted in similarity as high as 100 percent (E2F4 with ICF7) with other comparison generated similarities higher than 39 percent. These prediction analyses demonstrated significant findings on the molecular similarity relationship between the eight E2F transcription factors. The similarities and deviation among the eight members would provide in deep idea documenting their functionality.
format Thesis
qualification_level Bachelor degree
author Ibrahim Chandran, Noor Asri
author_facet Ibrahim Chandran, Noor Asri
author_sort Ibrahim Chandran, Noor Asri
title Computational prediction of eight E2F transcription factors (E2Fl-E2F8) in homo sapiens / Noor Asri Ibrahim Chandran
title_short Computational prediction of eight E2F transcription factors (E2Fl-E2F8) in homo sapiens / Noor Asri Ibrahim Chandran
title_full Computational prediction of eight E2F transcription factors (E2Fl-E2F8) in homo sapiens / Noor Asri Ibrahim Chandran
title_fullStr Computational prediction of eight E2F transcription factors (E2Fl-E2F8) in homo sapiens / Noor Asri Ibrahim Chandran
title_full_unstemmed Computational prediction of eight E2F transcription factors (E2Fl-E2F8) in homo sapiens / Noor Asri Ibrahim Chandran
title_sort computational prediction of eight e2f transcription factors (e2fl-e2f8) in homo sapiens / noor asri ibrahim chandran
granting_institution Universiti Teknologi MARA (Kampus Puncak Alam)
granting_department Faculty of Pharmacy
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/105846/1/105846.PDF
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