최선(崔善) 교수

약학과[대학원] /제약산업학과[대학원] /약학부

최선 프로필 사진
최선 교수는 약학대학 및 대학원 약학과 교수로서 컴퓨터를 이용한 약물설계 및 분자모델링 분야의 전문가이다. 본교 약대를 졸업하고, 미국 State University of New York at Buffalo에서 의약화학 전공으로 박사학위를 받았으며, 미국 Northwestern 대학에서 Post-doctoral Fellow를 하였다. 그후 2001년부터 2005년까지 컴퓨터를 이용한 약물설계 분야의 파이오니어적 회사인 미국 Tripos 본사에서 Molecular Modeler/Computational Chemist로 근무하며 신약개발 연구에 기여하고, 2005년부터 본교 교수로 재직 중이다.
최선 교수는 질병에 중요한 효소, GPCR, 이온채널 등을 대상으로 하는 약물설계와 신약개발을 위한 다양한 연구 프로젝트들을 진행하고 있다. 컴퓨터를 이용한 약물설계와 화학정보학 및 계산의약화학 등이 통합된 첨단 기술을 이용하여 암, 바이러스, 심혈관계 질환, 골다공증 등 다양한 질환에 대한 약물개발 전략을 세우고, 지식기반의 활성물질 검색 및 구조-활성 상관관계 분석, 활성 부위와 약리작용단 분석, 화합물 라이브러리와 신물질 설계, 도킹 등을 이용한 가상탐색, 효능예측, HTS data 분석, hit/선도물질의 최적화, 타겟 단백질과 리간드의 상호작용 및 작용기전에 대한 연구를 수행하고 있다. 또한, 단백질 다이나믹스와 알로스테리 규명을 위한 multi-scale simulation도 활발히 연구하고 있다. 최선 교수는 이러한 연구결과들을 <JACS(Journal of the American Chemical Society)>, <JMC(Journal of Medicinal Chemistry)> 등 저명한 국제학술지에 50여 편의 논문으로 발표하였고, 18th EuroQSAR Symposium 'Discovery Informatics & Drug Design'에서 Best Poster Presentation Award와 EFMC 'XXth International Symposium on Medicinal Chemistry'에서 Wiley-VCH ChemMedChem Poster Prize 등을 수상하였다. 
최선 교수의 연구실은 2011년 9월부터 한국연구재단의 지원을 받아 중견연구자 도약연구과제로 '단백질 상호작용의 Hot Spot과 알로스테릭 제어기전 규명을 위한 멀티스케일 시뮬레이션 연구 및 알로스테릭 저해제 기반 연구'를 수행하고 있으며, 미래창조과학부 지정 국가선도연구실(National Leading Research Laboratory; NLRL)로서 다양한 신약개발 연구를 진행하고 있다.
  • 약학관 B동 114호
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연구실적
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  • [학술지논문] Advances in Molecular Dynamics Simulations and Enhanced Sampling Methods for the Study of Protein Systems INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, v.21 no.17 , 6339-6359
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  • [학술지논문] Asymmetric Total Syntheses of Kopsane Alkaloids via a PtCl2-Catalyzed Intramolecular [3+2] Cycloaddition ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2020, v.59 no.31 , 12832-12836
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  • [학술지논문] Multiscale Molecular Modeling in G Protein-Coupled Receptor (GPCR)-Ligand Studies BIOMOLECULES, 2020, v.10 no.4 , 631-643
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  • [학술지논문] Discovery of Conformationally Restricted Human Glutaminyl Cyclase Inhibitors as Potent Anti-Alzheimer's Agents by Structure-Based Design JOURNAL OF MEDICINAL CHEMISTRY, 2019, v.62 no.17 , 8011-8027
    SCI
  • [학술지논문] In Vivo Albumin Traps Photosensitizer Monomers from Self-Assembled Phthalocyanine Nanovesicles: A Facile and Switchable Theranostic Approach JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2019, v.141 no.3 , 1366-1372
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  • [학술지논문] Total Synthesis of Hoiamide A Using an Evans-Tishchenko Reaction as a Key Step ORGANIC LETTERS, 2019, v.21 no.14 , 5471-5474
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  • [학술지논문] Transmembrane 4 L Six Family Member 5 Senses Arginine for mTORC1 Signaling CELL METABOLISM, 2019, v.29 no.6 , 1306-1306
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  • [학술지논문] Water-Soluble Phthalocyanines Selectively Bind to Albumin Dimers: A Green Approach Toward Enhancing Tumor-Targeted Photodynamic Therapy THERANOSTICS, 2019, v.9 no.22 , 6412-6423
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  • [학술발표] Introduction of My Career Path as a Scienctist in the Interdisciplinary and International Research KWSE Smart Sister Program, 대한민국, 2020-10-24 KWSE Smart Sister Program, 2020
  • [학술발표] Molecular Modeling and Computer-Aided Drug Design (CADD), and their Applications to Drug Discovery 숭실대학교 생명정보학과 세미나, 대한민국, 2020-10-15 숭실대학교 생명정보학과 세미나, 2020
  • [학술발표] Molecular Modeling and Computer-Aided Drug Design (CADD), and their Applications to Drug Discovery 전남대학교 약학대학 초청세미나, 대한민국, 2020-01-08 전남대학교 약학대학 초청세미나, 2020
  • [학술발표] Application of Artificial Intelligence (AI) and Big Data for Computer-Aided Drug Design (CADD) to Enhance Drug Discovery 제6회 아주대학교 의·약학 공동 심포지엄, 대한민국, 2019-11-28 제6회 아주대학교 의·약학 공동 심포지엄, 2019
  • [학술발표] Comprehensive mechanistic studies of a tetraspanin arginine sensor for the elucidation of mode of action and fibrosis inhibitor discovery 2019 MRC 성과발표회, 대한민국, 2019-12-10 2019 MRC 성과발표회, 2019
  • [학술발표] Molecular Modeling and Computer-Aided Drug Design (CADD), and their Applications to Drug Discovery KAIST 화학과 세미나, 대한민국, 2019-11-27 KAIST 화학과 세미나, 2019
  • [학술발표] Molecular Modeling and Computer-Aided Drug Design (CADD), and their Applications to Drug Discovery ACBI 2019 Jakarta Tutorial & Interview, 인도네시아, 2019-12-07 ACBI 2019 Jakarta Tutorial & Interview, 2019
  • [학술발표] 슈퍼컴퓨터를 활용한 단백질 3차원 구조 및 메커니즘 연구와 신약개발에의 응용 KISTI 슈퍼컴데이, 대한민국, 2019-12-03 KISTI 슈퍼컴데이, 2019
강의
  • 2023-2학기

  • 2023-1학기

  • 2022-2학기

    • 의약화학Ⅱ

      • 학수번호 36210분반 01
      • 5학년 ( 3학점 , 3시간) 화 5~5 (약A104) , 목 4~4 (약A104)
      • 전공필수 팀티칭, 학번 1~43
    • 의약화학Ⅱ

      • 학수번호 36210분반 02
      • 5학년 ( 3학점 , 3시간) 수 5~5 (약A104) , 금 5~5 (약A400)
      • 전공필수 팀티칭, 학번 44~86
    • 의약화학Ⅱ

      • 학수번호 36210분반 03
      • 5학년 ( 3학점 , 3시간) 수 3~3 (약A400) , 금 4~4 (약A400)
      • 전공필수 팀티칭, 학번 87~130, 산업제약학과 04반과 합반
    • 의약화학Ⅱ

      • 학수번호 36210분반 04
      • 5학년 ( 3학점 , 3시간) 수 3~3 (약A400) , 금 4~4 (약A400)
      • 전공필수 약학과 03반과 합반
    • 약학실습Ⅳ

      • 학수번호 37127분반 01
      • 4학년 ( 1.5학점 , 3시간) 월 6~7 (약A309)
      • 전공필수 팀티칭,학번 1~22
    • 약학실습Ⅳ

      • 학수번호 37127분반 02
      • 4학년 ( 1.5학점 , 3시간) 화 6~7 (약A309)
      • 전공필수 팀티칭,학번 23~43
    • 약학실습Ⅳ

      • 학수번호 37127분반 03
      • 4학년 ( 1.5학점 , 3시간) 수 6~7 (약A309)
      • 전공필수 팀티칭,학번 44~65
    • 약물디자인

      • 학수번호 G16894분반 01
      • 학년 ( 3학점 , 3시간) 화 2~3 (약A204)
      • 강의실변경,영어강의
  • 2021-1학기

    • 약물유기작용메커니즘

      • 학수번호 22574분반 01
      • 4학년 ( 1.5학점 , 1.5시간) 화 3~3
      • 영어강의 학번 1~65
    • 약물유기작용메커니즘

      • 학수번호 22574분반 02
      • 4학년 ( 1.5학점 , 1.5시간) 수 2~2
      • 영어강의 학번 66~130(산업제약학과03반과 합반)
    • 약물유기작용메커니즘

      • 학수번호 22574분반 03
      • 4학년 ( 1.5학점 , 1.5시간) 수 2~2
      • 영어강의 약학과02반과 합반
    • 의약화학Ⅰ

      • 학수번호 36202분반 01
      • 5학년 ( 3학점 , 3시간) 월 5~5 , 수 5~5
      • 전공필수 팀티칭/ 학번 1~43
    • 의약화학Ⅰ

      • 학수번호 36202분반 02
      • 5학년 ( 3학점 , 3시간) 화 5~5 , 목 5~5
      • 전공필수 팀티칭/ 학번 44~86
    • 의약화학Ⅰ

      • 학수번호 36202분반 03
      • 5학년 ( 3학점 , 3시간) 월 3~3 , 목 3~3
      • 전공필수 팀티칭/ 학번 87~130
    • 약학실습Ⅳ

      • 학수번호 37127분반 01
      • 4학년 ( 1.5학점 , 3시간) 월 6~7 (약A309)
      • 전공필수 팀티칭/ 학번 66~86
    • 약학실습Ⅳ

      • 학수번호 37127분반 02
      • 4학년 ( 1.5학점 , 3시간) 화 6~7 (약A309)
      • 전공필수 팀티칭/ 학번 87~108
    • 약학실습Ⅳ

      • 학수번호 37127분반 03
      • 4학년 ( 1.5학점 , 3시간) 수 6~7 (약A309)
      • 전공필수 팀티칭/ 학번109~130(산업제약학과 04반과 합반)
    • 약학실습Ⅳ

      • 학수번호 37127분반 04
      • 4학년 ( 1.5학점 , 3시간) 수 6~7 (약A309)
      • 전공필수 팀티칭(약학과03반과 합반)
    • 신약개발을위한분자모델링

      • 학수번호 G16852분반 01
      • 학년 ( 3학점 , 3시간) 금 5~6 (약)
      • 영어강의
학력

State University of New York at Buffalo Ph.D.(Medicinal Chemistry)

이화여자대학교 약학사(제약학과)