• 한국응용과학기술학회지
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• 제38권2호
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• pp.476-487
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• 2021

고형분 70% 아크릴수지를 합성하기 위해 n-butyl methacrylate(BMA), methyl methacrylate(MMA), 2-hydroxyethyl methacrylate(2-HEMA) 및 acetoacetoxyethyl acrylate(AAEA)와 caprolactone acrylate(CLA)를 사용하여 공중합체의 유리전이온도(T_g)를 50 ℃로 조정하여 합성하였으며, 합성한 아크릴수지의 점도와 분자량은 수산기가(OH values)의 증가에 따라 증가되었다. 높은 고형분의 아크릴수지 합성에 적합한 반응개시제는 di-tert-amyl peroxide 이었으며, 최적의 합성조건은 반응 개시제 5 wt%, 연쇄이동제 4 wt%, 반응온도 140 ℃에서 적하시간은 4시간이었다. 합성수지의 구조는 FT-IR과 ¹H-NMR spectroscopy로 확인하였고, 수평균 분자량은 1900~2600, 분자량 분포도 1.4~2.1을 얻었다. 합성한 아크릴수지와 무황변성 폴리이소시아네이트인 hexamethylene diisocyanate trimer(Desmodur N-3300)의 NCO/OH 당량비를 1.2/1.0으로 조절하여 아크릴-우레탄 투명도료를 제조하였다. 도료의 물리적 특성으로 점도, 부착성, 건조시간, 가사시간, 연필경도 및 광택을 비교 검토한 결과 부착성, 건조시간, 가사시간, 연필경도 및 광택이 양호한 결과를 나타내었고, 특히 CLA를 10 % 도입한 도료는 부착성이 우수하고 낮은 점도와 높은 경도를 나타내었다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.1-1
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• 2003

It is clear that computers will play a key role in the biology of the future. Even now, it is virtually impossible to keep track of the key proteins, their names and associated gene names, physical constants(e.g. binding constants, reaction constants, etc.), and hewn physical and genetic interactions without computational assistance. In this sense, computers act as an auxiliary brain, allowing one to keep track of thousands of complex molecules and their interactions. With the advent of gene expression array technology, many experiments are simply impossible without this computer assistance. In the future, as we seek to integrate the reductionist description of life provided by genomic sequencing into complex and sophisticated models of living systems, computers will play an increasingly important role in both analyzing data and generating experimentally testable hypotheses. The future of bioinformatics is thus being driven by potent technological and scientific forces. On the technological side, new experimental technologies such as microarrays, protein arrays, high-throughput expression and three-dimensional structure determination prove rapidly increasing amounts of detailed experimental information on a genomic scale. On the computational side, faster computers, ubiquitous computing systems, high-speed networks provide a powerful but rapidly changing environment of potentially immense power. The challenges we face are enormous: How do we create stable data resources when both the science and computational technology change rapidly? How do integrate and synthesize information from many disparate subdisciplines, each with their own vocabulary and viewpoint? How do we 'liberate' the scientific literature so that it can be incorporated into electronic resources? How do we take advantage of advances in computing and networking to build the international infrastructure needed to support a complete understanding of biological systems. The seeds to the solutions of these problems exist, at least partially, today. These solutions emphasize ubiquitous high-speed computation, database interoperation, federation, and integration, and the development of research networks that capture scientific knowledge rather than just the ABCs of genomic sequence. 1 will discuss a number of these solutions, with examples from existing resources, as well as area where solutions do not currently exist with a view to defining what bioinformatics and biology will look like in the future.