이정호 교수

The molecular chaperone heat shock protein 70 (Hsp70) plays a vital role in cellular processes, including protein folding and assembly, and helps prevent aggregation under physiological and stress-related conditions. Although the structural changes undergone by full-length client proteins upon interaction with DnaK (i.e., Escherichia coli Hsp70) are fundamental to understand chaperone-mediated protein folding, these changes are still largely unexplored. Here, we show that multiple conformations

The effects of tempering temperature on wear resistance and surface roughness of a high speed steel (HSS) roll manufactured by centrifugal casting method were investigated in this study. Hot-rolling simulation test was carried out using a high-temperature wear tester capable of controlling speed, load, and temperature. The test results revealed that the peak-tempered roll specimen showed the best wear resistance because of its hard matrix. However, its surface roughness deteriorated as the scrat

There has been a significant global interest to produce bulk chemicals from renewable resources using engineered microorganisms. Large research programs have been launched by academia and industry towards this goal. Particularly, C4 chemicals such as succinic acid (SA) and 1,4-butanediol have been leading the path towards the commercialization of biobased technology with the effort of replacing chemical production. Here we present O-Succinyl-L-homoserine (SH) as a new, potentially important plat

NMR is a powerful yet intrinsically insensitive technique. The applicability of NMR to chemical and biological systems would be substantially extended by new approaches going beyond current signal-to-noise capabilities. Here, we exploit the large enhancements arising from (13)C photochemically induced dynamic nuclear polarization ((13)C photo-CIDNP) in solution to improve biomolecular NMR sensitivity in the context of heteronuclear correlation spectroscopy. The (13)C-PRINT pulse sequence present

Three-bond (3)J(C'C') and (3)J(HNHα) couplings in peptides and proteins are functions of the intervening backbone torsion angle ϕ. In well-ordered regions, (3)J(HNHα) is tightly correlated with (3)J(C'C'), but the presence of large ϕ angle fluctuations differentially affects the two types of couplings. Assuming the ϕ angles follow a Gaussian distribution, the width of this distribution can be extracted from (3)J(C'C') and (3)J(HNHα), as demonstrated for the folded proteins ubiquitin and GB3. In

NMR is an extremely powerful, yet insensitive technique. Many available nuclear polarization methods that address sensitivity are not directly applicable to low-concentration biomolecules in liquids and are often too invasive. Photochemically induced dynamic nuclear polarization (photo-CIDNP) is no exception. It needs high-power laser irradiation, which often leads to sample degradation, and photosensitizer reduction. Here, we introduce a novel tri-enzyme system that significantly overcomes the

The interaction between α-synuclein (αS) protein and lipid membranes is key to its role in synaptic vesicle homeostasis and plays a role in initiating fibril formation, which is implicated in Parkinson's disease. The natural state of αS inside the cell is generally believed to be intrinsically disordered, but chemical cross-linking experiments provided evidence of a tetrameric arrangement, which was reported to be rich in α-helical secondary structure based on circular dichroism (CD). Cross-link

Nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for investigating various dynamic features of G protein-coupled receptor (GPCR) signaling. In this Perspective, we focus on NMR techniques to characterize ligand-dependent conformational dynamics of GPCRs as well as the interaction of GPCRs with their environment and ligands. We also describe circumstances under which each technique should be applied, their advantages and disadvantages, and how they can be combined with other strat

This study presents an approach for extracting boundaries of various buildings, which have concave boundaries, inner yards, non-right-angled corners, and nonlinear edges. The approach comprises four steps: building point segmentation, boundary tracing, boundary grouping, and regularization. In the second and third steps, conventional algorithms are improved for more accurate boundary extraction, and in the final step, a new algorithm is presented to extract nonlinear edges. The unique characteri

Measuring the translational diffusion of proteins under physiological conditions can be very informative, especially when multiple diffusing species can be distinguished. Diffusion NMR or diffusion-ordered spectroscopy (DOSY) is widely used to study molecular diffusion, where protons are used as probes, which can be further edited by the proton-attached heteronuclei to provide additional resolution. For example, the combination of the backbone amide protons (1HN) to measure diffusion with the we

본 연구는 스캔라인 기반의 2차원 이웃 관계를 활용하여 레이블링 알고리즘과 윈도우 기반의 알고리즘을 함께적용함으로써 항공레이저측량 자료의 지면점과 비지면점을 효과적으로 분리하는 것을 목적으로 한다. 이를 위하여 스캔라인 구조를 바탕으로 최소의 탐색을 통해 점들의 인접 관계를 구축하고, 구축된 인접관계를 기반으로연결성분 레이블링 알고리즘을 적용하여 항공레이저측량 자료를 지면점과 비지면점으로 분리하였다. 그리고,모폴로지 필터링을 통해 작은 개체를 추가로 제거하고 거리반비례 추정을 통해 고립 지면점을 복원하여 정확도를 향상시켰다. 다양한 특성을 나타내는 지역에 적용하고 평가한 결과 대부분의 점들이 올바르게 분리 되었고 약 97%의 전체 정확도를 도출하였으며, 인접관계 구축 및 데이터 처리 시간이 TIN 또는 격자 구조 자료 구축 시간에 비하여 적게 소요되었다.

(3)JHNHα and (3)JC'C' couplings can be readily measured in isotopically enriched proteins and were shown to contain precise information on the backbone torsion angles, ϕ, sampled in disordered regions of proteins. However, quantitative interpretation of these couplings required the population of conformers with positive ϕ angles to be very small. Here, we demonstrate that this restriction can be removed by measurement of (3)JC'Hα values. Even though the functional forms of the (3)JC'Hα and (3)JH

항공라이다 데이터를 이용한 건물 추출 연구가 많이 진행되어 오고 있으나 대부분의 연구는 건물경계를 직선으로 가정하기 때문에 곡선경계가 포함된 건물의 경계를 올바르게 모델링하지 못하는 한계가 있다. 본 논문은 곡선경계를 포함하는 건물을 항공라이다 데이터로부터 직선과 곡선이 혼합된 경계로 모델링하는 것을 목적으로 한다. 건물점들에 대하여 적응적 컨벡스헐 알고리즘과 큰 반경의 국지적 컨벡스헐 알고리즘을 적용하여 두 세트의 경계점을 추출한다. 경계점들의 평균 점 간격 및 수직이등분선의 교차 비율에 의하여 곡선 세그먼트를 판별한 후, 직선과 곡선 세그먼트에 대하여 각각 다른 정규화 방법을 적용하여 건물경계를 모델링한다. 실험결과, 곡선 세그먼트의 추출 완전성과 정확성이 각각 69%, 100%로서 본 연구의 방법을 통해 대부분의 곡선경계를 올바르게 추출 및 모델링할 수 있었다. 본 연구의 결과는 수치지도 제작기준을 만족하는 건물경계를 자동으로 생성하는데 효과적으로 활용될 수 있을 것이다.