• Journal of Life Science
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• v.11 no.5
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• pp.400-404
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• 2001

A new human endogenous retroviral family (HERV-S) has recently been identified from human X chromosome. It is 6.7 kb in length and has a typical retroviral structure with LTR-gag-pol-env-LTR. Using the PCR and sequencing approach, we investigated LTR elements of the HERV-S family from a human genomic DNA. Four LTR elements (HSL-1, HSL-5, HSL-10, HSL-11) were identified and have a high degree of sequence similarity(96-99%) with that of the HERV-S. Phylogenetic analysis from the HERV-S family indicated that the LTR elements were mainly divided into 2- groups through evolutionary divergence in the primate evolution. Further investigation of the HERV-S LTR elements in primates may cast light on the integration timing into the primate genome and understanding of human evolution.

• Journal of Life Science
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• v.14 no.4
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• pp.716-725
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• 2004

Sox protein family, a transcription factor, has been found in whole animal kingdom, and contains a sequence-specific DNA binding domain called high mobility group domain (HMG). The Sox protein family based on the amino acid sequence of HMG domain was classified into 10 groups. Each group of Sox family shows significant conservation from nematode to human. The HMG domain affect to various developmental cell differentiation through binding to enhancer and regulating other transcription factors. Recently, many molecular biologists focus their research on the illustration of Sox-related disease, evolution and phylogeny. Especially, stem cell research with Sox gene family is indispensable field for understanding of their biological functions. The understanding of Sox genes may contribute to understand their role in human genetic disease and whole animal evolution.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.1
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• pp.31-36
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• 2008

This paper presents adaptive learning data of evolvable neural networks (ENNs) for time series prediction of nonlinear dynamic systems. ENNs are a special class of neural networks that adopt the concept of biological evolution as a mechanism of adaptation or learning. ENNs can adapt to an environment as well as changes in the enviromuent. ENNs used in this paper are L-system and DNA coding based ENNs. The ENNs adopt the evolution of simultaneous network architecture and weights using indirect encoding. In general just previous data are used for training the predictor that predicts future data. However the characteristics of data and appropriate size of learning data are usually unknown. Therefore we propose adaptive change of learning data size to predict the future data effectively. In order to verify the effectiveness of our scheme, we apply it to chaotic time series predictions of Mackey-Glass data.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.920-924
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• 2005

This paper presents adaptive learning data of evolvable neural networks (ENNs) for time series prediction of nonlinear dynamic systems. ENNs are a special class of neural networks that adopt the concept of biological evolution as a mechanism of adaptation or learning. ENNs can adapt to an environment as well as changes in the environment. ENNs used in this paper are L-system and DNA coding based ENNs. The ENNs adopt the evolution of simultaneous network architecture and weights using indirect encoding. In general just previous data are used for training the predictor that predicts future data. However the characteristics of data and appropriate size of learning data are usually unknown. Therefore we propose adaptive change of learning data size to predict the future data effectively. In order to verify the effectiveness of our scheme, we apply it to chaotic time series predictions of Mackey-Glass data.

• Journal of Genetic Medicine
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• v.13 no.1
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• pp.1-13
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• 2016

Although some mutations are beneficial and are the driving force behind evolution, it is important to maintain DNA integrity and stability because it contains genetic information. However, in the oxygen-rich environment we live in, the DNA molecule is under constant threat from endogenous or exogenous insults. DNA damage could trigger the DNA damage response (DDR), which involves DNA repair, the regulation of cell cycle checkpoints, and the induction of programmed cell death or senescence. Dysregulation of these physiological responses to DNA damage causes developmental defects, neurological defects, premature aging, infertility, immune system defects, and tumors in humans. Some human syndromes are characterized by unique neurological phenotypes including microcephaly, mental retardation, ataxia, neurodegeneration, and neuropathy, suggesting a direct link between genomic instability resulting from defective DDR and neuropathology. In this review, rare human genetic disorders related to abnormal DDR and damage repair with neural defects will be discussed.

• Animal Systematics, Evolution and Diversity
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• v.37 no.3
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• pp.235-241
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• 2021

To provide better taxonomic information of the genus Nectoneanthes, the two DNA barcode regions of mitochondrial cytochrome c oxidase subunit I (COI) and 16S ribosomal DNA (rDNA) sequences of Nectoneanthes oxypoda and N. uchiwa were determined. In addition, the respective sequences of four nereidid species closely related to Nectoneanthes were retrieved from GenBank for comparison and to estimate intra- and inter-specific genetic distances. The aligned sequence lengths of COI and 16S rDNA were 570 bp and 419 bp long, respectively. The mean intraspecific variation in both markers was less than 1% in all species except for that in COI of H. diadroma (1.87%). The mean interspecific variation between N. oxypoda and N. uchiwa was 12.02% regarding COI and 1.85% regarding 16S rDNA. In contrast, the mean interspecific variation between species of other genera was comparably higher(i.e., genus Perinereis: 20.5% in COI and 8.3% in 16S rDNA; genus Hediste: 13.18% in COI and 2.64% in 16S rDNA), compared with that between the two Nectoneanthes species. This result indicated that these Nectoneanthes species are genetically more closely related than other congeneric species of different genera. The DNA barcoding information on Nectoneanthes species generated in this study provides valuable insights for further biodiversity studies on nereidid species.

• Proceedings of the Zoological Society Korea Conference
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• 1995.10b
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• pp.153-153
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• 1995

No Abstract, See Full Text

• Animal Systematics, Evolution and Diversity
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• v.13 no.2
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• pp.73-81
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• 1997

한국산 조류 중 박새속(genus Parus)에 속하는 4종 Parus major wladiwostokensis (박새), P. ater amurensis(진박새), P. palustrius hellmayri(쇠박새) 및 P. varius varius(곤줄 박이)를 대상으로 이들의 계통적 유연관계를 구명하기 위하여 mtDNA분석을 실시하였다. 6 base를 인지하는 10개의 제한효소를 처리하여 얻어진 mtDNA의 크기는 16.6~17.0Kb였으며 Pst I과 Pvu II는 종간 차이가 뚜렷하였다. 각 종간의 절편양상을 비교하여 Parus속의 종 간 분화정도를 비교한 결과 P. m. wladiwostokensis와 P. a. amurensis의 유전적 근연관계 가 가장 가까웠고(p=0.073, F=0.294) P. a. amurensis와 P. v. varius는 비교적 현저한 유전 적 차이를 보였다.(p=0.119, F=0.143). Brown 등 (1979)의 공식을 이용하여 박새속 4종의 분 화시기를 추정한 결과 이들은 후기 선신세(Pliocene)와 초기 홍적세(Pleistocene) 사이에 분 화된 것으로 추정되었다.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2633-2635
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• 2000

In this paper, a new DNA coding method, namely modified DNA coding method based on the biological DNA and the evolution mechanism of genetic algorithm. In order to evaluate the propose algorithms, for an example, they are applied to the fuzzy control of parallel double inverted pendulum system. Simulation result show the method is effective in finding the fuzzy control rules and is more excellent than conventional methods in control the system.

• Animal Systematics, Evolution and Diversity
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• v.35 no.4
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• pp.186-190
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• 2019

DNA barcoding of two marine tintinnids, Eutintinnus rectus and Schmidingerella arcuata, was performed using four samples collected from different sites in the north-eastern coast of South Korea. The loricae morphology was observed by light and scanning electron microscopy. Molecular data were analyzed using five nuclear ribosomal DNA markers(18S, ITS1, 5.8S, ITS2, and 28S genes) and one mitochondrial marker (CO1 gene). The intraspecific pairwise differences of E. rectus and S. arcuata in the CO1 gene were 0.0-0.2% and 0.0-0.6%, respectively, while there were no differences in the 18S rDNA sequences.