| 학회 |
한국공업화학회 |
| 학술대회 |
2017년 가을 (11/08 ~ 11/10, 부산 벡스코(BEXCO)) |
| 권호 |
21권 2호 |
| 발표분야 |
생물공학_포스터 |
| 제목 |
Computational Screening of Potential scaffold Proteins Using OCR-based Fingerprint |
| 초록 |
The OCR approach generates fingerprints for the family of protein under study by combining conserved residues obtained independently by three alignment methods, i.e. multiple sequence alignment, structure-based alignment and alignment based on the inter-strand hydrogen bonds. An ideal fingerprint was generated for these two superfamily of proteins by aligning the sequentially distant template sequences based on sequence, structure and inter-strand hydrogen bonding patterns independently. The resultant fingerprint was used to scan NR database and to identify potentially novel cystatin-like and lipocalins-like proteins. Finally, these identified proteins were validated by modeling strategies. |
| 저자 |
Ganapathiraman MUNUSSAMI, 이선구
|
| 소속 |
부산대 |
| 키워드 |
Protein fingerprint; Scaffold protein; Cystatin; Lipocalin
|
| E-Mail |
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