• Bulletin of the Korean Chemical Society
• /
• 제30권1호
• /
• pp.261-263
• /
• 2009

• BMB Reports
• /
• 제43권11호
• /
• pp.711-719
• /
• 2010

Kinomics is an emerging and promising approach for deciphering kinomes. Chemical kinomics is a discipline of chemical genomics that is also referred to as "chemogenomics", which is derived from chemistry and biology. Chemical kinomics has become a powerful approach to decipher complicated phosphorylation-based cellular signaling networks with the aid of small molecules that modulate kinase functions. Moreover, chemical kinomics has played a pivotal role in the field of kinase drug discovery as it enables identification of new molecular targets of small molecule kinase modulators and/or exploitation of novel functions of known kinases and has also provided novel chemical entities as hit/lead compounds. In this short review, contemporary chemical kinomics technologies such as activity-based protein profiling, T7 kinasetagged phages, kinobeads, three-hybrid systems, fluorescenttagged kinase binding assays, and chemical genomic profiling are discussed along with a novel allosteric Bcr-Abl kinase inhibitor (GNF-2/GNF-5) as a successful application of chemical kinomics approaches.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
• /
• pp.490-495
• /
• 1992

A neural model predictive control strategy combining a neural network for plant identification and a nonlinear programming algorithm for solving nonlinear control problems is proposed. A constrained nonlinear optimization approach using successive quadratic programming cooperates with neural identification network is used to generate the optimum control law for the complicate continuous/batch chemical reactor systems that have inherent nonlinear dynamics. Based on our approach, we developed a neural model predictive controller(NMPC) which shows excellent performances on nonlinear, model-plant mismatch cases of chemical reactor systems.

• Korean Chemical Engineering Research
• /
• 제61권1호
• /
• pp.89-96
• /
• 2023

동적 선형 블록과 정적 비선형 블록이 직렬로 연결되어 있는 Wiener형 비선형 모델은 여러 화학 공정의 동특성을 묘사하는데 널리 사용되는데, Wiener형 비선형 공정의 모델 확인은 다소 긴 공정 활성화 데이터가 필요하다. 본 연구는 이러한 단점을 보완하기 위하여 단일 계단 응답으로부터 Wiener형 비선형 공정 모델을 찾아낼 수 있는 새로운 모델 확인 방법을 제안한다. 제안된 방법은 계단 응답의 초기 응답으로부터 선형 동적 블록의 예측 응답을 얻어 선형 동적 블록의 모델을 확인하고, 이어서 비선형 정적 블록의 모델을 확인한다. 본 방법은 단일 계단 응답만을 사용하여 공정 모델 확인을 위해 필요한 공정 응답을 얻는 과정에서 시간과 비용적으로 큰 이득을 얻을 수 있다. 제안된 공정 확인 방법의 성능은 대표적인 Wiener형 비선형 공정인 pH 적정 공정과 액위 공정을 대상으로 검증되었다.

• 대한화학회지
• /
• 제6권2호
• /
• pp.99-103
• /
• 1962

The usefulness of a propionylated paper chromatography to the identification of various insoluble organic antioxidants in rubber vulcanizates was studied. Purified commercial antioxidants and commercially mixed antioxidants could be identified by the propionylated paper chromatography. Antioxidants were identified by the propionylated paper chromatography from acetone extract of pure gum vulcanizates, which were either unaged or aged in Geer-Oven. The $R_f$ values from acetone extracts of vulcanizates were a little lower than those purified samples, but the colours and shapes of the spots support the identification. No spot could be obtained by the method from the aged vulcanizate containing antioxidant 200 (2,6 Di-tert-butyl-p-cresol). This indicates that the antioxidant was converted or decomposed to other compound after aging. It was concluded from the above results that the propionylated paper chromatography is useful to identify the antioxidants from vulcanizates and presents a key for elucidating the mechanism of the inhibition.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
• /
• pp.501-506
• /
• 1998

A mathematical model is developed to describe the relationship between the manipulated variables (e.g. jacket inlet temperature and feed flow rate) and the important qualities (e.g conversion and weight average molecular weight (Mw)) in a continuous polymerization reactor. The subspace-based identification method for Wiener model is used to retrieve from the discrete sample data the accurate information about both the structure and initial parameter estimates for iterative parameter optimization methods. The comparison of the output of the identified Wiener model with the outputs of a non-linear plant model shows a fairly satisfactory degree of accordance.

• 한국산업보건학회지
• /
• 제22권1호
• /
• pp.20-25
• /
• 2012

Objectives: Hazard identification is the most important step in occupational health monitoring at the workplace. This paper reviewed the several related stuffs to the hazard identification in the semiconductor industry. Methods: I checked the MSDS system, chemical toxic informations, trade secrets and by-products by experience and the literature used in semiconductor industry. Results: I found and experienced as follows; (1) There are a few inventory and history of chemicals used in workplace. Toxic information of chemicals to be available is very limited. (2) There are many trade secrets in MSDS for chemical mixtures. It is difficult to identify the accurate information from MSDS. (3) By-products is necessary to identify that they will produce in workplace. Conclusions: It is necessary to regulate the obligations of employers which check the inventory and history of chemicals used in workplace. It is necessary to amend the trade secrets in MSDS system.

• Bulletin of the Korean Chemical Society
• /
• 제20권9호
• /
• pp.1021-1025
• /
• 1999

Near-infrared (NIR) spectroscopy has been successfully utilized for the rapid identification of six typical petroleum products such as light straight-run (LSR), naphtha, kerosine, light gas oil (LGO), gasoline, and diesel. The spectral features of each product were reasonably differentiated in the NIR region, and the spectral differences provided enough qualitative spectral information for discrimination. For discrimination, principal component analysis (PCA) combined with Mahalanobis distance was used to identify each petroleum product from NIR spectra. The results showed that each product was accurately identified with an accuracy over 95%. Most noticeably, LSR, kerosine, gasoline, and diesel samples were predicted with identification accuracy of 99%. The overall results ensure that a portable NIR instrument combined with a multivariate qualitative discrimination method can be efficiently utilized for rapid and simple identification of petroleum products. This is especially important when local at-site measurements are necessary, such as accidental petroleum leakage and regulation of illegal product blending.

• Bulletin of the Korean Chemical Society
• /
• 제33권4호
• /
• pp.1405-1408
• /
• 2012

• BMB Reports
• /
• 제45권10호
• /
• pp.545-553
• /
• 2012

Determination of the type and origin of the body fluids found at a crime scene can give important insights into crime scene reconstruction by supporting a link between sample donors and actual criminal acts. For more than a century, numerous types of body fluid identification methods have been developed, such as chemical tests, immunological tests, protein catalytic activity tests, spectroscopic methods and microscopy. However, these conventional body fluid identification methods are mostly presumptive, and are carried out for only one body fluid at a time. Therefore, the use of a molecular genetics-based approach using RNA profiling or DNA methylation detection has been recently proposed to supplant conventional body fluid identification methods. Several RNA markers and tDMRs (tissue-specific differentially methylated regions) which are specific to forensically relevant body fluids have been identified, and their specificities and sensitivities have been tested using various samples. In this review, we provide an overview of the present knowledge and the most recent developments in forensic body fluid identification and discuss its possible practical application to forensic casework.