| 학회 |
한국공업화학회 |
| 학술대회 |
2018년 봄 (05/02 ~ 05/04, 대구 엑스코(EXCO)) |
| 권호 |
22권 1호 |
| 발표분야 |
생물공학_포스터 |
| 제목 |
RiSLnet: Rapid Identification of Smart Mutant Libraries using Protein Structure Network. Application to thermal stability enhancement |
| 초록 |
A key point of protein stability engineering is to identify specific target residues that do not harm original activity of the protein. Here, we propose a method, called RiSLnet (Rapid identification of Smart mutant Library using residue network), to identify such residues by combining network analysis for protein residue interactions, identification of conserved residues, and evaluation of relative solvent accessibility. Application to lysine decarboxylase (CadA) confirmed its accuracy and effectiveness. RiSLnet successfully identified beneficial mutants with decent (~60%) accuracy and significantly reduced the number of candidate residues (~99%) for mutation. Finally, a combinatorial mutant designed by RiSLnet and in silico saturation mutagenesis resulted in an increase of half-life (T1/2) to 114.9 min at 58°C, which is approximately two-fold higher than that of the wild-type. |
| 저자 |
김진영1, Roopali Upadhyay1, 홍은영1, 이선구2, 서주현3, 김병기1
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| 소속 |
1서울대, 2부산대, 3선문대 |
| 키워드 |
smart mutant library; protein structural network; thermal stability
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| E-Mail |
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