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Updated: May 14, 2026
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In vitro Synthesis of Native, Fibrous Long Spacing and Segmental Long Spacing Collagen
Published on: September 20, 2012
Computational analysis of bovine alpha-1 collagen sequences
Ayan Saha1, Md Jibran Alam, Kutub Uddin Muhammad Ashraf
1Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong-4331, Bangladesh.
Bioinformation
|February 8, 2013
Summary
This study computationally analyzed bovine collagen family members, identifying collagen 12, 14, and 20 as potential targets for pathological conditions due to their unique structural and functional properties.
Area of Science:
- Biochemistry
- Molecular Biology
- Bioinformatics
Background:
- Bovine collagen alpha-1 is a key extracellular matrix protein involved in cell functions.
- While collagen alpha-1's role in osteogenesis imperfecta is known, other collagen family members require deeper investigation.
- Understanding the broader collagen family is crucial for insights into connective tissue disorders.
Purpose of the Study:
- To perform a comparative analysis of the bovine collagen family.
- To identify specific collagen members as potential targets for pathological conditions.
- To explore correlations among bovine collagen sequences.
Main Methods:
- Computational analysis of 28 bovine collagen family members.
- Physico-chemical, secondary structural, functional, and phylogenetic classifications.
- Sequence analysis to determine structural and functional properties.
Main Results:
- Collagen 12, 14, and 20 were selected as targets for pathological conditions.
- These FACIT (Fibril-Associated Collagens with Interrupted Triple helices) collagens exhibit low glycine and proline content, high instability, and high aliphatic index.
- Bovine collagen 12, 14, and 20 associate with collagen 1 fibrils but do not form fibrils independently.
Conclusions:
- Bovine collagen 12, 14, and 20 possess distinct characteristics making them relevant for disease research.
- These collagens are potential candidates for understanding matrix remodeling in diseases.
- Further investigation into these FACIT collagens could reveal new insights into cellular compartments and disease mechanisms.
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