• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.466-468
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• 2004

Molecular modelling은 시뮬레이션을 통해 온도, 압력 등과 같은 분자 운동에 영향을 미칠 수 있는 요소를 설정한 후 분자의 움직임을 관찰하는 방법으로 신약, 신소재, 고분자 개발에 있어서 연구 개발 기간을 단축하는 효과적인 방법이다. 기존의 molecular modelling 어플리케이션들은 슈퍼컴퓨터나 단일 클러스터를 이용하여 작업을 수행하도록 설계되어 비용과 성능 측면에서 문제점을 가지고 있다. 1590년대 중반 지리적으로 분산되어 있는 광범위한 자원들을 공유하여 장기간 소요되는 컴퓨팅 작업의 성능 향상 및 비용절감을 목적으로 하는 그리드(grid)가 등장하였다. 이에 본 연구에서는 효율적이면서도 저비용을 갖는 molecular modelling 어플리케이션 개발을 위해 그리드를 기반으로 최적 자원 선택 브로커를 이용하는 molecular docking 어플리케이션을 제안한다. 이를 위해 우리는 molecular docking을 수행하는 그리드 환경의 계층 구조를 설계하고 효율적 작업 수행을 위한 최적 자원 선택 브로커를 설계하였다. 그리고 그리드 환경에서 molecular docking 어플리케이션의 효과적인 수행을 위해 molecular docking 연산 모델을 정의하고 필요한 molecular docking 어플리케이션의 요소들을 설계하였다.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.221-233
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• 2004

Molecular docking falls into the general category of global optimization problems since its main purpose is to find the most stable complex consisting of a receptor and its ligand. Conformational space annealing (CSA), a powerful global optimization method, is incorporated with the Tinker molecular modeling package to perform molecular docking simulations of six receptor-ligand complexes (3PTB, 1ULB, 2CPP, 1STP, 3CPA and 1PPH) from the Protein Data Bank. In parallel, Monte Carlo with minimization (MCM) method is also incorporated into the Tinker package for comparison. The energy function, consisting of electrostatic interactions, van der Waals interactions and torsional energy terms, is calculated using the AMBER94 all-atom empirical force field. Rigid docking simulations for all six complexes and flexible docking simulations for three complexes (1STP, 3CPA and 1PPH) are carried out using the CSA and the MCM methods. The simulation results show that the docking procedures using the CSA method generally find the most stable complexes as well as the native -like complexes more efficiently and accurately than those using the MCM, demonstrating that CSA is a promising search method for molecular docking problems.

• The Journal of Korean Association of Computer Education
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• v.9 no.4
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• pp.63-74
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• 2006

A molecular docking is thc process of reducing an unmanageable number of compounds to a limited number of compounds for the target of interest by means of computational simulation. And it is one of a large scale scientific application that requires large computing power and data storage capability. Previous applications or software for molecular docking were developed to be run on a supercomputer, a workstation, or a cluster computer. However the virtual screening using a supercomputer has a problem that a supercomputer is very expensive and the virtual screening using a workstation or a cluster-computer requires a long execution time. Thus we propose Grid service based molecular docking application. We designed a resource broker and a data broker for supporting efficient molecular docking service and developed various services for molecular docking.

• Journal of Integrative Natural Science
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• v.15 no.4
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• pp.179-186
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• 2022

The c-Jun N-terminal kinase (JNK3) play major role in neurodegenerative diseases like Alzheimer's disease, Parkinson's disease, cerebral ischemia and other Central Nervous System disorders. Since JNK3 is primarily stated in the brain and stimulated by stress-stimuli, this situation is conceivable that inhibiting JNK3 could be a possible treatment for the mechanisms underlying neurodegenerative diseases. In this study drugs from Zinc15 database were screened to identify the JNK3 inhibitors by Molecular docking and Density functional theory approach. Molecular docking was done by Autodock vina and the ligands were selected based on the binding affinity. Our results identified top ten novel ligands as potential inhibitors against JNK3. Molecular docking revealed that Venetoclax, Fosaprepitant and Avapritinib exhibited better binding affinity and interacting with proposed binding site residues of JNK3. Density functional theory was used to compute the values for energy gap, lowest unoccupied molecular orbital (LUMO), and highest occupied molecular orbital (HOMO). The results of Density functional theory study showed that Venetoclax, Fosaprepitant and Avapritinib serves as a lead compound for the development of JNK3 small molecule inhibitors.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.441-448
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• 2008

The molecular docking system needs a large amount of computation and requires super-computing power. Since the experiment requires a large amount of time, the experiment is conducted in the distributed environment or in the grid environment. Recently, researches on using parallel GPU of far higher performance than that of CPU in scientific computing have been very actively conducted. CUDA is an open technique by which a parallel GPU programming is made possible. This study proposes the molecular docking system using CUDA. It also proposes algorithm that parallels energy-minimizing-computation. To verify such experiments, this study conducted a comparative analysis on the time required for experimenting molecular docking in general CPU and the time and performance of the parallel GPU-based molecular docking which is proposed in this study.

• Journal of Integrative Natural Science
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• v.2 no.2
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• pp.55-58
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• 2009

A ligand-receptor docking program is an indispensible tool in modern pharmaceutical design. An accurate prediction of small molecular docking pose to a receptor is essential in drug design as well as molecular recognition. An effective docking program requires the ability to locate a correct binding pose in a surprisingly complex conformational space. However, there is an inherent difficulty to predict correct binding pose. The odds are more demanding than finding a needle in a haystack. This mainly comes from the flexibility of both ligand and receptor. Because the searching space to consider is so vast, receptor rigidity has been often applied in docking programs. Even nowadays the receptor may not be considered to be fully flexible although there have been some progress in search algorithm. Improving the efficiency of searching algorithm is still in great demand to explore other applications areas with inherently flexible ligand and/or receptor. In addition to classical search algorithms such as molecular dynamics, Monte Carlo, genetic algorithm and simulated annealing, rather recent algorithms such as tabu search, stochastic tunneling, particle swarm optimizations were also found to be effective. A good search algorithm would require a good balance between exploration and exploitation. It would be a good strategy to combine algorithms already developed. This composite algorithms can be more effective than an individual search algorithms.

• Journal of Integrative Natural Science
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• v.10 no.3
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• pp.137-140
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• 2017

Diabetes mellitus has become a major growing public health problem worldwide. More than 90% of all diabetes cases are classified as type 2 diabetes (T2D), which is also known as non-insulin dependent diabetes. Protein tyrosine phosphatase 1B (PTP1B) plays an important role in the negative regulation of insulin signal transduction pathway and has emerged as novel therapeutic strategy for the treatment of type 2 diabetes. PTP1B inhibitors enhance the sensibility of insulin receptor (IR) and have favorable curing effect for insulin resistance-related diseases. Recently twelve anti-diabetic xanthones were isolated from the bark of Garcinia xanthochymus. Hence, in the present study, molecular docking was carried out for these twelve xanthones. The objective of this work is to study the interaction of the newly isolated xanthones with PTP1B. The docking results showed that xanthones have good interactions and has better docking score with PTP1B and suggest LYS120 and ASP181 are the important residues involved in interaction between PTP1B enzyme and the xanthones.

• Journal of Integrative Natural Science
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• v.11 no.1
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• pp.25-29
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• 2018

Protein phosphatase manganese dependent 1D (PPM1D), a Ser/Thr protein phosphatise, play major role in the cancer tumorigenesis of various tumors including neuroblastoma, pancreatic adenocarcinoma, medulloblastoma, breast cancer, prostate cancer and ovarian cancer. Hence, analysis on the structural features required for the formation of PPM1D-inhibitor complex becomes essential. In this study, we have performed molecular docking of SL-175 and -176 and protein-protein docking of CDC5L with PPM1D. On analysing the docked complexes, we have identified the important residues involved in the formation of protein-ligand complex. Research concentrating on these residues could be helpful in understanding the pathophysiology of various tumors related to PPM1D.

• Journal of Integrative Natural Science
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• v.9 no.1
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• pp.23-27
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• 2016

Hepatitis B virus is the leading source of liver disorders and is a global health problem and needs advancements in its treatment against increasing problems. Recently five vanitaracin derivatives were isolated from the fungus Talaromyces species which have anti-Hepatitis B virus activity. Hence, in the present study, molecular docking was carried out with five vanitaracin derivatives isolated from Talaromyces species and three known inhibitors.The objective of this work is to study the interaction of newly isolated compounds and compare its interaction with known inhibitors. The docking results revealed that vanitaracin derivatives have good interactions and has better docking score with the Hepatitis B virus and suggest SER2, SER4 and ASP30 are important residues involved in interaction with the inhibitors. These result authenticates vanitaracin derivatives contributes to inhibitory activity of Hepatitis B virus to treat liver disorders.

• Journal of Integrative Natural Science
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• v.9 no.3
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• pp.161-165
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• 2016

The p21-activated kinase-1 (PAK1) has emerged as a potential target for anticancer therapy. It is overexpressed in ovarian, breast and bladder cancers. This suggests that PAK1 may contribute to tumorigenesis. 4-azaindole derivatives are reported as potent PAK1 inhibitors. The present work deals with the molecular docking studies of 4-azaindoles with PAK1. Probable binding mode of these inhibitors has been identified by molecular modeling. Docking results indicated that hydrogen bonding interactions with Glu345 and Leu347 are responsible for governing inhibitor potency of the compounds. Additionally, Val284, Val328, Met344 and Leu396 were found to be accountable for hydrophobic interactions inside the active site of PAK1.