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새로운 백금 착체(II) 화합물의 흰쥐 혈장에서 대사체 확인
김종환,조요나,노영수,서성훈,정지창,장성구,이규홍,이주한,이경태,Kim, Jong-Whan,Jo, Yo-Na,Rho, Young-Soo,Seo, Seong-Hoon,Jung, Jee-Chang,Chang, Sung-Goo,Lee, Kyoe-Heung,Lee, Joo-Han,Lee, Kyung-Tae 한국약제학회 1998 Journal of Pharmaceutical Investigation Vol.28 No.3
KHPC-002 $[(trans-l-diaminocyclohexane-bis-l,2(diphenylphosphinoethane)platinum)\;{\cdot}2NO_3]$ and $KHPC-006[(cis-diaminocyclohexane-bis-1,2(diphenylphosphinoethane)platinum)\;{\cdot}2NO_3]$ were synthesized as candidates for third platinum antitumor agent. Before their pharmacokinetic study, we optimized the analytical condition with HPLC and identified the major metabolites in the rat plasma. HPLC analysis by $C_{18}$ reverse-phase column showed that standard peak of both compounds appeared rapidly at around 1 minutes, whereas metabolites of KHPC-002 and KHPC-006 which were extracted from plasma after single I.V. administration in rats or incubation for 24 hr at $37^{\circ}C$ showed retention time of $10{\sim}11$ minutes. These metabolites were identified as the major compound by Matrix Associated Laser Deposition/Ionization (MALDI), which only lose the 2 molecules of $NO_3$. Based on these results, we suggest that the major metabolites of KHPC-002 and KHPC-006 were [trans-l-diamino-cyclohexane-bis-l,2(diphenylphosphinoethane)platinum] and [cis-diaminocyclohexane-bis-l.2(diphenylphosphinoethane)platinum], respectively.
송민석(Min-Seok Song),이주창(Joo Chang Lee),이상호(Sang-Ho Lee),박장호(Jang Ho Park),차상균(Sang K. Cha) 한국정보과학회 1999 한국정보과학회 학술발표논문집 Vol.26 No.1B
지능형 교통 시스템과 같이 공간상에서 이동체의 위치 정보를 관리해야 하는 경우에는 잦은 갱신 연산으로 인하여 보다 고성능의 공간 데이터베이스 시스템이 필요하다. 이미 DBMS 상에서 공간 데이터 지원을 위한 많은 시도가 있어 왔지만, 대부분이 비교적 많은 디스크 접근을 수반하는 디스크 기반의 DBMS 위에서 이루어졌기 때문에 위와 같은 고성능의 공간 데이터베이스 시스템에 대한 요구를 충족시키기 어렵다. 이에 본 연구에서는 주메모리 저장 시스템인 Xmas 위에서 공간 데이터 지원 방안을 모색하고 이를 구현한다. 우선, 프로그래밍 인터페이스 측면에서 공간 데이터를 효과적으로 표현하고 이용할 수 있도록 OpenGIS 모델을 바탕으로 공간 데이터 타입과 공간 연산자를 구현한다. 다음으로는, 하부 저장 구조의 측면에서 가변 길이를 갖는 공간 데이터를 효과적으로 저장할 수 있도록 가변 길이 필드 지원 방안을 연구 구현하며, 공간 연산시 수반되는 비용을 절감할 수 있도록 공간 색인을 추가한다.
새로운 백금 착체(2) 화합물의 흰쥐 혈장에서 대사체 확인
김종환(Jong Whan Kim),조요나(Yo Na Jo),노영수(Young Soo Rho),서성훈(Seong Hoon Seo),정지창(Jee Chang Jung),장성구(Sung Goo Chang),이규홍(Kyoe Heung Lee),이주한(Joo Han Lee),이경태(Kyung Tae Lee) 한국약제학회 1998 Journal of Pharmaceutical Investigation Vol.28 No.3
N/A KHPC-002[(trans-l-diaminocyclohexane-bis-1,2(diphenylphosphinoethane)platinum)·2NO₃] and KHPC-006[(cis-diaminocyclohexane-bis-1,2(diphenylphosphinoethane)platinum)·2NO₃] were synthesized as candidates for third platinum antitumor agent. Before their pharmacokinetic study, we optimized the analytical condition with HPLC and identified the major metabolites in the rat plasma. HPLC analysis by C_(18) reverse-phase column showed that standard peak of both compounds appeared rapidly at around 1 minutes, whereas metabolites of KHPC-002 and KHPC-006 which were extracted from plasma after single I.V. administration in rats or incubation for 24 hr at 37℃ showed retention time of 10∼11 minutes. These metabolites were identified as the major compound by Matrix Associated Laser Deposition/Ionization (MALDI), which only lose the 2 molecules of NO₃. Based on these results, we suggest that the major metabolites of KHPC-002 and KHPC-006 were [trans-l-diamino-cyclohexane-bis-1, 2(diphenylphosphinoethane)platinum] and [cis-diaminocyclohexane-bis-1,2(diphenylphosphinoethane)platinum], respectively.
이주창 대구대학교 산업기술연구소 2013 産業技術硏究 Vol.24 No.1
Production informations models can be described in different ways, even when utilizing the same modeling language. When it comes to the product family-based development, however, sharing product information across a family of products in any companies and classifying products into a similar group can increase efficiency and effectiveness of thir product realization process while shortening lead-times and reducing cost. To find the similar product groups in the different product information models, we propesed how to measure product similarity, a novel method to develop formal product family-based information model using ontological technology framework incorporated with Formal Concept Analysis (FCA). The purpose method is formalized using Web Ontology Language (OWL) and implemented in Protege.