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      KCI등재

      초기 신약개발 단계에서의 신약후보물질 최적화를 위한 물성 스크리닝 방법 검증 및 프로파일링 = Validation and Profiling of Physicochemical Properties Screening Methods for New Drug Candidate Optimization in Early Drug discovery

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      https://www.riss.kr/link?id=A105602666

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Drug-like properties based on physicochemical properties are important to confer good ADME/PK char-acteristics for sufficiently effective efficacy and safety on preclinical and clinical trials. Therefore, accurate estimation and optimization of physicochemical properties such as ionization constant, lipophilicity, permeability, and solubility are import-ant factors for pharmacokinetic properties including clearance, half-life, bioavailability, drug-drug interactions. This study was performed to validate screening method of physicochemical properties. The commercially available drugs were used to validate analytical method system of physicochemical properties and experimental values were compared with literature values and in silico predictions. The experimental pKa values were in very good accordance with literature values in both case of pKa PRO (r² = 0.82) and GLpKa (r² = 0.87). Experimental values and in silico predictions of lipophilicity were also in very good accordance with literature values (r² > 0.82). Experimental physicochemical values of KR-62980 as a new drug candidate showed similar values to in silico predictions. Finally, screenings of physicochemical properties can be applied well and this result may cause lowering cost and accelerating screening speed for the integration of ADME/PK screening data in early stage of new drug discovery.
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      Drug-like properties based on physicochemical properties are important to confer good ADME/PK char-acteristics for sufficiently effective efficacy and safety on preclinical and clinical trials. Therefore, accurate estimation and optimization of physic...

      Drug-like properties based on physicochemical properties are important to confer good ADME/PK char-acteristics for sufficiently effective efficacy and safety on preclinical and clinical trials. Therefore, accurate estimation and optimization of physicochemical properties such as ionization constant, lipophilicity, permeability, and solubility are import-ant factors for pharmacokinetic properties including clearance, half-life, bioavailability, drug-drug interactions. This study was performed to validate screening method of physicochemical properties. The commercially available drugs were used to validate analytical method system of physicochemical properties and experimental values were compared with literature values and in silico predictions. The experimental pKa values were in very good accordance with literature values in both case of pKa PRO (r² = 0.82) and GLpKa (r² = 0.87). Experimental values and in silico predictions of lipophilicity were also in very good accordance with literature values (r² > 0.82). Experimental physicochemical values of KR-62980 as a new drug candidate showed similar values to in silico predictions. Finally, screenings of physicochemical properties can be applied well and this result may cause lowering cost and accelerating screening speed for the integration of ADME/PK screening data in early stage of new drug discovery.

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      목차 (Table of Contents)

      • 서 론 (Introduction)
      • 실험 방법 (Experimental Methods)
      • 결과 및 고찰 (Results and Discussion)
      • 결 론 (Conclusion)
      • 서 론 (Introduction)
      • 실험 방법 (Experimental Methods)
      • 결과 및 고찰 (Results and Discussion)
      • 결 론 (Conclusion)
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      참고문헌 (Reference)

      1 Avdeef A., "pHmetric logP 10. Determination of liposomal membrane-water partition coefficients of ionizable drugs" 15 : 209-, 1998

      2 Arnott J.A., "The influence of lipophilicity in drug discovery and design" 7 : 863-, 2012

      3 Volgyi G., "Study of pH-dependent solubility of organic bases. Revisit of Henderson-Hasselbalch relationship" 673 : 40-, 2010

      4 Li A.P., "Screening for human ADME/Tox drug properties in drug discovery" 6 : 357-, 2001

      5 Lipinski C.A., "Rule of five in 2015 and beyond: Target and ligand structural limitations, ligand chemistry structure and drug discovery project decisions" 101 : 34-, 2016

      6 Venkatesh S., "Role of the development scientist in compound lead selection and optimization" 89 : 145-, 2000

      7 Qiang Z., "Potentiometric determination of acid dissociation constants (pKa) for human and veterinary antibiotics" 38 : 2874-, 2004

      8 Kerns E.H., "Physicochemical profiling: overview of the screens" 1 : 343-, 2004

      9 Avdeef A., "Physicochemical profiling in drug research: a brief survey of the state-of-the-art of experimental techniques" 59 : 1681-, 2002

      10 Lipinski C.A., "Lead- and drug-like compounds: the rule-of-five revolution" 1 : 337-, 2004

      1 Avdeef A., "pHmetric logP 10. Determination of liposomal membrane-water partition coefficients of ionizable drugs" 15 : 209-, 1998

      2 Arnott J.A., "The influence of lipophilicity in drug discovery and design" 7 : 863-, 2012

      3 Volgyi G., "Study of pH-dependent solubility of organic bases. Revisit of Henderson-Hasselbalch relationship" 673 : 40-, 2010

      4 Li A.P., "Screening for human ADME/Tox drug properties in drug discovery" 6 : 357-, 2001

      5 Lipinski C.A., "Rule of five in 2015 and beyond: Target and ligand structural limitations, ligand chemistry structure and drug discovery project decisions" 101 : 34-, 2016

      6 Venkatesh S., "Role of the development scientist in compound lead selection and optimization" 89 : 145-, 2000

      7 Qiang Z., "Potentiometric determination of acid dissociation constants (pKa) for human and veterinary antibiotics" 38 : 2874-, 2004

      8 Kerns E.H., "Physicochemical profiling: overview of the screens" 1 : 343-, 2004

      9 Avdeef A., "Physicochemical profiling in drug research: a brief survey of the state-of-the-art of experimental techniques" 59 : 1681-, 2002

      10 Lipinski C.A., "Lead- and drug-like compounds: the rule-of-five revolution" 1 : 337-, 2004

      11 Wishart D.S., "Introduction to Cheminformatics" 53 : 1411-, 2016

      12 Stahl M., "Integrating molecular design resources within modern drug discovery research: the Roche experience" 11 : 326-, 2006

      13 Kerns E.H., "In vitro solubility assays in drug discovery" 9 : 879-, 2008

      14 Alsenz J., "High throughput solubility measurement in drug discovery and development" 59 : 546-, 2007

      15 Kerns E.H., "High throughput physicochemical profiling for drug discovery" 90 : 1838-, 2001

      16 Manchester J., "Evaluation of pKa estimation methods on 211 druglike compounds" 50 : 565-, 2010

      17 Gardner C.R., "Drugs as materials: valuing physical form in drug discovery" 3 : 926-, 2004

      18 Bharate S.S., "Determining Partition Coefficient (Log P), Distribution Coefficient (Log D) and Ionization Constant (pKa) in Early Drug Discovery" 19 : 461-, 2016

      19 Cabot J.M., "Determination of acidity constants of sparingly soluble drugs in aqueous solution by the internal standard capillary electrophoresis method" 35 : 3564-, 2014

      20 Ribeiro A.R., "Determination of acid dissociation constants (pKa) of cephalosporin antibiotics: Computational and experimental approaches" 169 : 524-, 2017

      21 Koh H.L., "Current trends in modern pharmaceutical analysis for drug discovery" 8 : 889-, 2003

      22 Rybacka A., "Considering ionic state in modeling sorption of pharmaceuticals to sewage sludge" 165 : 284-, 2016

      23 Kramer S.D., "Considerations on the potentiometric log P determination" 15 : 1310-, 1998

      24 Caldwell G.W., "Compound optimization in early- and late-phase drug discovery: acceptable pharmacokinetic properties utilizing combined physicochemical, in vitro and in vivo screens" 3 : 30-, 2000

      25 Meloun M., "Benchmarking and validating algorithms that estimate pK(a) values of drugs based on their molecular structures" 389 : 1267-, 2007

      26 Dehring K.A., "Automated robotic liquid handling/laser-based nephelometry system for high throughput measurement of kinetic aqueous solubility" 36 : 447-, 2004

      27 Ferreira N.C., "Anti-prion activity of a panel of aromatic chemical compounds: in vitro and in silico approaches" 9 : e84531-, 2014

      28 van de Waterbeemd H., "ADMET in silico modelling: towards prediction paradise?" 2 : 192-, 2003

      29 Fuguet E., "A fast method for pKa determination by capillary electrophoresis" 6 : 1822-, 2009

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      1999-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.2 0.2 0.22
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.23 0.18 0.403 0.02
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