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Results 1-10 of 13 (Search time: 0.003 seconds).
| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Predicting drug-target interaction using a novel graph neural network with 3D structure-embedded graph representation 임재창; 류성옥; 박규병; 최요중; 함지연; 김우연, 제130차 대한화학회 물리화학분과회 하계 심포지엄, 대한화학회 물리화학분과회, 2019-07-08 | |
| Fast and accurate excited state calculation method for large molecular system 김재욱; 강성우; 임재창; 황상연; 김우연, 2019 KAIST School of Molecular Science BK21 Workshop, BK21, 2019-02-18 | |
| Accelerating hybrid density functional calculation in real-space numerical grid methods 김재욱; 김우연, 123회 춘계대한화학회, 대한화학회, 2019-04-18 | |
| Performance of Range-Separated hybrid DFT calculations on real-space Lagrange-sinc basis 강성우; 김우연, 2019 Molecular Simulation Workshop, KAIST,서울대학교,서강대학교, 2019-01-30 | |
| Effect of locality of exchange-correlation potential for excited state calculation 김재욱; 홍광우; 임재창; 강성우; 최성환; 황상연; 류성옥; 김우연, 2019 Molecular Simulation Workshop, KAIST,서울대학교,서강대학교, 2019-01-30 | |
| Deep learning-based drug discovery 김우연, KSBMB 화학생물학분과 심포지움, KSBMB 화학생물분과, 2019-08-22 | |
| Drug discovery based on graph neural networks and deep generative models 김우연, 2019년 한국구조생물학회 하계연례학술대회, 구조생물학회, 2019-07-04 | |
| AI-based acceleration of early stage drug development 김우연, 2019 KSMI-KSNM Integration Event Symposium on Molecular Imaging and Nanomedicine, 분자영상확회, 대한나노의학회, 2019-11-02 | |
| Deep learning for chemistry 김우연, 2019 물리화학 하계 심포지움, 대한화학회 물리화학분과, 2019-07-08 | |
| Deep learning for efficient drug discovery 김우연, 제4회 화학생물학 분과 정기학술모임, KSBMB 화학생물학분과, 2019-11-29 |
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