We present an analysis of the blind predictions submitted to the fold recognition category for the second meeting on the Critical Assessment of techniques for protein Structure Prediction. Our method achieves fold recognition from predicted secondary structure sequences using hidden Markov models (H
Structure prediction and fold recognition for the ferrochelatase family of proteins
โ Scribed by M. Hansson; S.P. Gough; S.S. Brody
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 214 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0887-3585
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โฆ Synopsis
An alpha/beta barrel is predicted for the three-dimensional (3D) structure of Bacillus subtilis ferrochelatase. To arrive at this structure, the THREADER program was used to find possible homologous 3D structures and to predict the secondary structure for the ferrochelatase sequence. The secondary structure was fit by hand to the selected homologous 3D structure then the MODELLER program was used to predict the fold of ferrochelatase. Molecular biological information about the conserved residues of ferrochelatase was used as the criteria to help select the homologous 3D structure used to predict the fold of ferrochelatase. Based on the predicted structure possible, ligands binding to the iron and protoporphyrin IX are discussed. The structure has been deposited in the Brookhaven database as ID 1FJI.
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