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Ž,uvela, Petar,Liu, J. Jay,Yi, Myunggi,Pomastowski, Paweł P.,Sagandykova, Gulyaim,Belka, Mariusz,David, Jonathan,Bą,czek, Tomasz,Szafrań,ski, Krzysztof,Ż,ołnowska, Beata,Sławi TaylorFrancis 2018 Journal of enzyme inhibition and medicinal chemist Vol.33 No.1
<P><B>Abstract</B></P><P>In this work, a target-based drug screening method is proposed exploiting the synergy effect of ligand-based and structure-based computer-assisted drug design. The new method provides great flexibility in drug design and drug candidates with considerably lower risk in an efficient manner. As a model system, 45 sulphonamides (33 training, 12 testing ligands) in complex with carbonic anhydrase IX were used for development of quantitative structure-activity-lipophilicity (property)-relationships (QSPRs). For each ligand, nearly 5,000 molecular descriptors were calculated, while lipophilicity (log<I>k</I><SUB>w</SUB>) and inhibitory activity (log<I>K</I><SUB>i</SUB>) were used as drug properties. Genetic algorithm-partial least squares (GA-PLS) provided a QSPR model with high prediction capability employing only seven molecular descriptors. As a proof-of-concept, optimal drug structure was obtained by inverting the model with respect to reference drug properties. 3509 ligands were ranked accordingly. Top 10 ligands were further validated through molecular docking. Large-scale MD simulations were performed to test the stability of structures of selected ligands obtained through docking complemented with biophysical experiments.</P>
MediaPipe Framework를 이용한 얼굴과 손의 경혈 판별을 위한 Computer Vision 접근법
하디 ( Hadi S. Malekroodi ),이명기 ( Myunggi Yi ),이병일 ( Byeong-il Lee ) 한국정보처리학회 2023 한국정보처리학회 학술대회논문집 Vol.30 No.2
Acupuncture and acupressure apply needles or pressure to anatomical points for therapeutic benefit. The over 350 mapped acupuncture points in the human body can each treat various conditions, but anatomical variations make precisely locating these acupoints difficult. We propose a computer vision technique using the real-time hand and face tracking capabilities of the MediaPipe framework to identify acupoint locations. Our model detects anatomical facial and hand landmarks, and then maps these to corresponding acupoint regions. In summary, our proposed model facilitates precise acupoint localization for self-treatment and enhances practitioners' abilities to deliver targeted acupuncture and acupressure therapies.
인공지능을 활용한 경혈위치 추론: 두 가지 접근법 비교
서선덕 ( Seon-deok Seo ),이병일 ( Byung-il Lee ),이명기 ( Myunggi Yi ) 한국정보처리학회 2023 한국정보처리학회 학술대회논문집 Vol.30 No.2
최근 인공지능을 활용한 경혈의 위치를 추론하는 연구가 활발하게 진행되고 있다. 본 논문은 자세 추정(Pose Estimation)을 통해 경혈 검출을 위한 두 가지 접근법인 Top down 방식과 Bottom up 방식의 추론 결과를 비교함으로써 어떤 방식이 경혈의 위치를 추론하기에 더 적합한 지 알아보고자 한다.