• Title/Summary/Keyword: Molecular design

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Optimization of Neural Networks Architecture for Impact Sensitivity of Energetic Molecules

  • Cho, Soo-Gyeong;No, Kyoung-Tai;Goh, Eun-Mee;Kim, Jeong-Kook;Shin, Jae-Hong;Joo, Young-Dae;Seong, See-Yearl
    • Bulletin of the Korean Chemical Society
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    • v.26 no.3
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    • pp.399-408
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    • 2005
  • We have utilized neural network (NN) studies to predict impact sensitivities of various types of explosive molecules. Two hundreds and thirty four explosive molecules have been taken from a single database, and thirty nine molecular descriptors were computed for each explosive molecule. Optimization of NN architecture has been carried out by examining seven different sets of molecular descriptors and varying the number of hidden neurons. For the optimized NN architecture, we have utilized 17 molecular descriptors which were composed of compositional and topological descriptors in an input layer, and 2 hidden neurons in a hidden layer.

Selection and Analysis of Genomic Sequence-Derived RNA Motifs Binding to C5 Protein

  • Kim, Kwang-sun;Ryoo, Hye-jin;Lee, June-Hyung;Kim, Mee-hyun;Kim, Tae-yeon;Kim, Yool;Han, Kook;Lee, Seol-Hoon;Lee, Young-hoon
    • Bulletin of the Korean Chemical Society
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    • v.27 no.5
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    • pp.699-704
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    • 2006
  • Escherichia coli RNase P is a ribonucleoprotein composed of M1 RNA and C5 protein. Previously, analysis of RNA aptamers selected for C5 protein from a synthetic RNA library showed that C5 protein could bind various RNA molecules as an RNA binding protein. In this study, we searched cellular RNA motifs that could be recognized by C5 protein by a genomic SELEX approach. We found various C5 protein-binding RNA motifs derived from E. coli genomic sequences. Our results suggest that C5 protein interacts with various cellular RNA species in addition to M1 RNA.

Development of new agrochemicals by quantitative structure-activity relationship (QSAR) methodology. III. 3D QSAR methodologies and computer-assisted molecular design (CAMD) (정량적인 구조-활성상관 (QSAR) 기법에 의한 새로운 농약의 개발. III. 3D QSAR 기법들과 컴퓨터를 이용한 분자설계(CAMD))

  • Sung, Nack-Do
    • The Korean Journal of Pesticide Science
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    • v.7 no.1
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    • pp.1-11
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    • 2003
  • Acoording to improvement of HTOS (high throughput organic synthesis) and HTS (high throughput screening) technique, the CoMFA (comparative molecular field analysis), CoMSIA (comparative molecular similarity indeces analysis) and molecular HQSAR (hologram quantitative structure-activity relationship) analysis techniques as methodology of computer assisted molecular design (CAMD) were introduced generally and summarized for some application cases.