Topics in Bioengineering

서울대학교
로마스 카츨라우스카스

페이스북 트위터 카카오톡 네이버밴드 링크복사

주제분류

공학 >화공 >화학공학
강의학기

2013년 1학기

조회수

5,081

Overview of current goals and methods to improve proteins for industrial applications, including rational design, directed evolution and combined methods. Students will critically evaluate research papers on enzyme engineering and identify unsolved technical and theoretical problems in the field

차시별 강의

1.	Introduction	Biocatalysis, green chemistry, why proteins need to be engineered
	Introduction ProSAR approach	Biocatalysis, green chemistry, why proteins need to be engineered
2.	Enzyme Stability	Measuring protein stability
	Engineer Stable Proteins	Strategies to rationally engineer more stable proteins
	Irreversible unfolding via MG	Strategies to rationally engineer more stable proteins
3.	Making enzymes faster	Measuring reaction rates (MM kinetics) / Strategies to increase reaction rates
4.	Measure Selectivity	Measuring enzyme selectivity
	Engineer Selectivity	Strategies to increase selectivity
5.	Computer Modeling Overview	Viewing protein structures/ Molecular mechanics approach to modeling
	Critical evaluation of computer model	Extending molecular mechanics to model protein stability & pH dependence / Modeling selectivity (conformations & molecular dynamics) / Modeling reactivity (QM and other approaches)
6.	Mutagenesis Single Substitution	Overview of directed evolution: screening, random mutagenesis / Mutagenesis using error prone PCR - methods, polymerase fidelity
	Better NNK	Saturation mutagenesis approaches
	Circular permuation	Saturation mutagenesis approaches
7.	Multiple Substitutions	Bioinformatics approaches / Stepwise combinations of substitutions /Adding multiple mutations simultaneously
8.	Recombination Methods	Recombination methods - limitations, homology
9.	Genomic Approaches	Other approaches to mutagenesis (e.g. circular permutations, neutral drift libraries)
10.	Screening	Screening strategies
	Screening	Screening strategies
	Selection	Selection strategies
11.	open topic	Expression Vectors
12.	open topic	Metabolic Engineer