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Computational screening of potential non-immunoglobulin scaffolds using overlapped conserved residues (OCR)-based fingerprints

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Abstract

Cystatins and lipocalins have attracted considerable interest for their potential applications in non-immunoglobulin protein scaffold engineering. In the present study, their potential homologs were screened computationally from non-redundant protein sequence database based on the overlapped conserved residues (OCR)-fingerprints, which can detect the protein family with low sequence identity, such as cystatins and lipocalins. Two types of OCR-fingerprints for each family were designed and showed very high detection efficiency (>90%). The protein sequence database was scanned by the fingerprints, which yielded the hypothetical sequences for cystatins and lipocalins. The hypothetical sequences were validated further based on their sequence motifs and structural models, which allowed an identification of the potential homologs of cystatins and lipocalins.

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  1. These authors contributed equally to this work.

Authors and Affiliations

  1. Department of Chemical and Biomolecular Engineering, Pusan National University, Busan, 46241, Korea

    Ganapathiraman Munussami, Sriram Sokalingam, Selvakumar Edwardraja, Jung Rae Kim, Sungwook Chung & Sun-Gu Lee

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  1. Ganapathiraman Munussami
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  2. Sriram Sokalingam
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  3. Selvakumar Edwardraja
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  4. Jung Rae Kim
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  5. Sungwook Chung
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  6. Sun-Gu Lee
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Correspondence to Sriram Sokalingam or Sun-Gu Lee.

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Munussami, G., Sokalingam, S., Edwardraja, S. et al. Computational screening of potential non-immunoglobulin scaffolds using overlapped conserved residues (OCR)-based fingerprints. Korean J. Chem. Eng. 35, 717–724 (2018). https://doi.org/10.1007/s11814-017-0350-4

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  • DOI: https://doi.org/10.1007/s11814-017-0350-4

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