• 한국염색가공학회:학술대회논문집
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• 한국염색가공학회 2008년도 제39차 학술발표회
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• pp.77-78
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• 2008

Affinity between alkyl substituted super hydrophobic dyes and polypropylene fiber has been analyzed by using the molecular descriptor as a method to predict chemical and physical characteristics of compounds. Hydrophobicity of synthesized dyes calculated by LogP which is one of molecular descriptors was increased continuously as the length of alkyl substituents increased.

• 대한화학회지
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• 제37권1호
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• pp.68-75
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• 1993

분자구조를 기술하는 molecular connectivity index, Wiener index 및 ad hoc descriptor와 알코올, 에스테르, 케톤 화합물들이 생체내에서 나타내는 enzyme inhibitory potency, lipoxygenase inhibition, tadpole narcosis potency, 증기독성(vapor toxicity), 증발열(heat of vaporization)과 같은 성질들 사이의 상관관계를 조사하였다. 생물학적 활성의 종류에 따라 molecular descriptor 사이의 우열은 있으나, 대체로 좋은 상관관계식을 얻었다.

• Genomics & Informatics
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• 제11권4호
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• pp.282-288
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• 2013

The molecular vibration-activity relationship in the receptor-ligand interaction of adenosine receptors was investigated by structure similarity, molecular vibration, and hierarchical clustering in a dataset of 46 ligands of adenosine receptors. The resulting dendrogram was compared with those of another kind of fingerprint or descriptor. The dendrogram result produced by corralled intensity of molecular vibrational frequency outperformed four other analyses in the current study of adenosine receptor agonism and antagonism. The tree that was produced by clustering analysis of molecular vibration patterns showed its potential for the functional classification of adenosine receptor ligands.

• Journal of Applied and Pure Mathematics
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• 제4권5_6호
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• pp.249-262
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• 2022

Nowadays, it is an important task to find extremal values on any molecular descriptor with respect to different graph parameters. The Sombor index is a novel topological molecular descriptor introduced by Gutman in 2021. The research on determining extremal values for the Sombor index of a graph is very popular recently. In this paper, we present the maximum Sombor index of bicyclic graphs with given matching number. Furthermore, we identify the corresponding extremal bicyclic graphs.

• 대한화학회지
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• 제36권4호
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• pp.485-495
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• 1992

기체 및 액체 상태의 여러가지 유기화합물(alcohol, acetate, alkane, acid 및 substituted NH$_2$)과 이성분계 혼합용액(n-alkane/1-chloroalkane)에 대한 점성도를 계산하기 위하여, 분자의 크기, 가지의 형태, 환상구조, 불포화의 정도, 분극성 등이 분자의 성질에 미치는 영향을 잘 설명하여 주는 molecular connectivity index, Wiener index 및 ad hoc descriptor 방법을 이용하였다. 그 결과 기체 상태에 대해서는 Wiener index 방법이, 액체 상태에 대해서는 ad hoc descriptor 방법이 그리고 이성분계에 대해서는 molecular connectivity index 방법이 우수한 방법임을 알 수 있었으며, 각각의 방법으로 구한 최적 상관관계식을 이용하여 점성도를 계산하였고, 이와 같이 구한 이론치와 점성도의 실측치를 비교할 때, 매우 잘 일치하는 결과를 얻을 수 있었다.

• 한국정보전자통신기술학회논문지
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• 제16권6호
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• pp.378-384
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• 2023

본 연구에서는 신경망포텐셜(Neural Network Potential)의 효율성과 정확도를 동시에 달성할 수 있는 기술자 벡터 조건을 도출하고자 한다. 소재 시스템은 단원소 소재인 실리콘으로 선정하였으며, 인공신경망 학습을 위한 원자 구조별 에너지 데이터는 밀도범함수이론 계산을 통하여 생성하였다. Behler-Parrinello 타입의 원자중심대칭함수를 기술자 벡터로 사용하였고, 다양한 벡터 길이에 대한 신경망포텐셜 생성 후 분자동역학 시뮬레이션에 적용하여 실리콘 소재의 구조 및 기계적 물성 재현성을 평가하였다. 실험 결과, 물성 재현 정확도를 유지하면서 학습 및 계산 효율성을 동시에 달성할 수 있는 기술자벡터의 최소 길이는 약 50이고, 소재의 기계적 물성이 이 길이에 더 큰 영향을 받으며, 같은 길이의 조건에서는 방사 대비 각도 방향 대칭함수를 더 반영하면 신경망포텐셜의 정확도가 올라감을 발견하였다. 이를 토대로 신경망포텐셜의 효율성과 정확도 동시 달성을 위한 최적의 기술자벡터 설정 가이드라인 제공이 가능할 것으로 기대된다.

• 한국염색가공학회:학술대회논문집
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• 한국염색가공학회 2008년도 제38차 학술발표대회
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• pp.120-122
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• 2008

Relationship between hydrophobicity of dyes and affinity onto pure polypropylene fibers has been analyzed by using the molecular descriptor as a method to predict chemical and physical characteristics of compounds. Hydrophobicity of newly synthesized red dyes calculated by LogP which is one of molecular descriptors was increased continuously as the length of alkyl substituents increased. The dyeability onto polypropylene fibers was increased as LogP of the dyes increased and was very high when the hydrophobicity is over 6.

• Bulletin of the Korean Chemical Society
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• 제34권9호
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• pp.2680-2684
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• 2013

Protein kinases (PKs) are an important source of drug targets, especially in oncology. With 500 or more kinases in the human genome and only few kinase inhibitors approved, kinase inhibitor discovery is becoming more and more valuable. Because the discovery of kinase inhibitors with an increased selectivity is an important therapeutic concept, many researchers have been trying to address this issue with various methodologies. Although many attempts to predict the activity and selectivity of kinase inhibitors have been made, the issue of selectivity has not yet been resolved. Here, we studied kinase selectivity by generating predictive models and analyzing their descriptors by using kinase-profiling data. The 5-fold cross-validation accuracies for the 51 models were between 72.4% and 93.7% and the ROC values for all the 51 models were over 0.7. The phylogenetic tree based on the descriptor distance is quite different from that generated on the basis of sequence alignment.

• 한국CDE학회논문집
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• 제14권6호
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• pp.404-414
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• 2009

In the computational molecular analysis, 3D structural comparison for protein searching plays a very important role. As protein databases have been grown rapidly in size, exhaustive search methods cannot provide satisfactory performance. Because exhaustive search methods try to handle the structure of protein by using sphere set which is converted from atoms set, the similarity calculation about two sphere sets is very expensive. Instead, the filter-and-refine paradigm offers an efficient alternative to database search without compromising the accuracy of the answers. In recent, a very fast algorithm based on the inter-atomic distance has been suggested by Ballester and Richard. Since they adopted the moments of distribution with inter-atomic distance between atoms which are rotational invariant, they can eliminate the structure alignment and orientation fix process and perform the searching faster than previous methods. In this paper, we propose a new 3D shape descriptor. It has properties of the general shape distribution and useful property in screening the molecular database. We show some experimental results for the validity of our method.

• Bulletin of the Korean Chemical Society
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• 제25권12호
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• pp.1874-1876
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• 2004

Quantitative structure activity relationship has been probed for spirosuccinimide-fused tetrahydropyrrolo[1,2-a]pyrazine-1,3-dione derivatives acting as aldose reductase inhibitors. While the spirosuccinimide compounds contain a chiral center, the aldose reductase inhibition assay was performed with racemic mixtures in the published work. As the physicochemical descriptors of the QSAR analysis must be evaluated for a definite molecular structure, we devise a new 'racemic' descriptor as the arithmetic mean of the (R)-enantiomer descriptor and the (S)-enantiomer descriptor. The resultant QSAR model derived from the racemic descriptors outperforms the original QSAR models, closely reproducing the observed activity of optically pure enantiomers as well as racemic mixtures.