박상현 교수
Sanghyun Park
포항공과대학교 컴퓨터공학과 · 컴퓨터과학
연구실 소개
박상현 교수의 연구실은 생물학적 신호 전달 경로의 정밀한 제어 메커니즘을 밝히는 데 초점을 맞추고 있습니다. 특히 스caffolding 단백질이 신호 전달을 어떻게 조절하는지에 대한 분자적 원리를 해석하고, 이를 기반으로 합성 생물학적 경로를 설계하는 데 성공했습니다. 또한 분자 동역학 시뮬레이션과 반응 경로 분석을 통해 생체 분자의 기능적 거동을 수학적으로 기반화한 연구를 진행하고 있습니다. 이는 생물학적 시스템의 설계 원리 이해와 신약 개발에 기여할 수 있는 기초 연구입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15How scaffold proteins control information flow in signaling pathways is poorly understood: Do they simply tether components, or do they precisely orient and activate them? We found that the yeast mitogen-activated protein (MAP) kinase scaffold Ste5 is tolerant to major stereochemical perturbations; heterologous protein interactions could functionally replace native kinase recruitment interactions, indicating that simple tethering is largely sufficient for scaffold-mediated signaling. Moreover, b
Simulated tempering is a method to enhance simulations of complex systems by periodically raising and lowering the temperature. Despite its advantages, simulated tempering has been overshadowed by its parallel counterpart, replica exchange (also known as parallel tempering), due to the difficulty of weight determination in simulated tempering. Here we propose a simple and fast method to obtain near-optimal weights for simulated tempering, and demonstrate its effectiveness in a molecular dynamics
Article Share on Segment-based approach for subsequence searches in sequence databases Authors: Sanghyun Park Department of Computer Science, University of California, Los, Angeles, Los Angeles, CA Department of Computer Science, University of California, Los, Angeles, Los Angeles, CAView Profile , Sang-Wook Kim Department of Computer, Information, and Communications Engineering, Kangwon National University, Korea Department of Computer, Information, and Communications Engineering, Kangwon Natio
Finding representative reaction pathways is important for understanding the mechanism of molecular processes. We propose a new approach for constructing reaction paths based on mean first-passage times. This approach incorporates information about all possible reaction events as well as the effect of temperature. As an application of this method, we study representative pathways of excitation migration in a photosynthetic light-harvesting complex, photosystem I. The paths thus computed provide a
In the social ecological model, personal characteristics are important determinants of health behaviors, however, multi-dimensional approaches that consider social and physical environments must be utilized to gain a broader picture. Accordingly, this study examines the effects of personal, social, and physical environment variables as factors affecting levels of physical activity (METs). Our findings are based on 72,916 responses from the 2015 Community Health Survey in South Korea. Individual
Identifying alternative indications for known drugs is important for the pharmaceutical industry. Many computational methods have been proposed for predicting unknown associations between drugs and target proteins associated with diseases. To produce better prediction, researchers should not only develop accurate algorithms but identify good features that reflect intracellular systems. In this paper, we proposed a novel method for exploiting protein localization. We generated localization vector
Markov state models are kinetic models built from the dynamics of molecular simulation trajectories by grouping similar configurations into states and examining the transition probabilities between states. Here we present a procedure for validating the underlying Markov assumption in Markov state models based on information theory using Shannon's entropy. This entropy method is applied to a simple system and is compared with the previous eigenvalue method. The entropy method also provides a way
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