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Introduction

  • pipetcpt : open source softwares
  • pipetpro : private repositories

4 Task Forces (소위원회)

pipetpro only

Members

2019-04-08

THe members of PIPET (Alphabetical orders)

  1. GitHub followerscrckhm 김혜민 CK
  2. GitHub followersdlaqudgml2 임병희 PB
  3. GitHub followerseheh9191 박은희 AA
  4. GitHub followersoceanofscience 임동석 FY
  5. GitHub followersparkseeh 박시현 PP
  6. GitHub followerspipetpro PIPET Pro
  7. GitHub followersQJeon 전상일 QJ
  8. GitHub followersSeunghoon-Han 한승훈 FH
  9. GitHub followersshanmdphd 한성필 FP
  10. GitHub followersSojinee 이소진 GL
  11. GitHub followersSOOYOUNG-KANG 강수영 QS
  12. GitHub followersSueinchoi 최수인 RS

Memorandum

서울성모병원 임상약리과 - 가톨릭대학교 계량약리학연구소 (PIPET)

Trainee

  1. 모르는 것을 끝까지 파고드는 호기심이 명문대 졸업장을 이긴다. (졸업장, 면허증 하나로 편히 살려는 사람 사절)
  2. 학문에 있어서는 계급장 떼고 토론하라. (上命下服과 science는 함께할 수 없다.)
  3. 모르는 것은 모른다고 말하라. (모름을 숨기면 배울 기회를 차버리는 것이다.)
  4. 배우고 난 후 생각하고 질문하지 않는다면 배운 것이 아니다. (남이 지식을 전달해 줄 수 있어도 생각까지 대신해 줄 수는 없다.)
  5. 사람의 품성은 아랫사람을 대하는 태도에서 거짓없이 드러난다. (위만 쳐다보지 말고 주변이 함께 일하고 싶은 사람이 되기를)

Faculty

  1. 속도보다 방향이다.
  2. 윗사람에게 무조건 순종하거나 비위 맞추는 사람을 교수로 들이지 말라. (아래에도 같은 것을 요구하여 대학을 망친다.)
  3. 각광받지 못하는 주제라도 깊이 파고들 수 있는 기개를 지녀라.
  4. 배우는 사람의 잠재력을 최대한 끌어내는 것이 수련이다. (일을 시키는 것은 수련의 방법이지 목적이 아니다.)
  5. 이 메모를 존중하는 것도, 휴지조각으로 만드는 것도 교수들에게 달려있다. (지키기 싫은 교수는 떠나라.)

2018.12
임동석 (Director, PIPET)

What we do

Open-source simulation software

  1. CRM_simulation: Early clinical trial designing using CRM
  2. Intravenous_HBIG: 정맥 주사용 B형 간염 항체 용법용량 별 목표 농도 도달률 예측
  3. AntihypertensiveDrugs: Anti-Hypertensive Drugs 계산 프로그램
  4. TMDD_GC1118: TMDD_PK/Receptor Occupancy- GC1118
  5. PKsimIV: PK simulator IV Ver.
  6. PKsimEV: PK Simulator Extravascular Ver.

PIPET Papers (2017-Present)

[1] S. H. Bae, D. Yim, H. Lee, et al. “Application of Pharmacometrics in Pharmacotherapy: Open-Source Software for Vancomycin Therapeutic Drug Management”. In: Pharmaceutics 11.5 (May. 2019), p. 224. DOI: 10.3390/pharmaceutics11050224. <URL: https://doi.org/10.3390/pharmaceutics11050224>.

[2] S. Cho, S. Han, J. Ghim, et al. “A Randomized, Double-Blind Trial Comparing the Pharmacokinetics of CT-P16, a Candidate Bevacizumab Biosimilar, with its Reference Product in Healthy Adult Males”. In: BioDrugs 33.2 (Mar. 2019), pp. 173-181. DOI: 10.1007/s40259-019-00340-x. <URL: https://doi.org/10.1007/s40259-019-00340-x>.

[3] S. Choi, S. Han, S. Jeon, et al. “Quantitative Prediction of Human Pharmacokinetics and Pharmacodynamics of CKD519, a Potent Inhibitor of Cholesteryl Ester Transfer Protein (CETP)”. In: Pharmaceutics 11.7 (Jul. 2019), p. 336. DOI: 10.3390/pharmaceutics11070336. <URL: https://doi.org/10.3390/pharmaceutics11070336>.

[4] S. Han, S. Han, K. Kim, et al. “Usefulness of Bnet, a Simple Linear Metric in Discerning Torsades De Pointes Risks in 28 CiPA Drugs”. In: Frontiers in Pharmacology 10 (Nov. 2019). DOI: 10.3389/fphar.2019.01419. <URL: https://doi.org/10.3389/fphar.2019.01419>.

[5] T. M. Polasek, A. Rostami-Hodjegan, D. Yim, et al. “What Does it Take to Make Model-Informed Precision Dosing Common Practice? Report from the 1st Asian Symposium on Precision Dosing”. In: The AAPS Journal 21.2 (Jan. 2019). DOI: 10.1208/s12248-018-0286-6. <URL: https://doi.org/10.1208/s12248-018-0286-6>.

[6] S. H. Bae, W. Park, S. Han, et al. “Physiologically-based pharmacokinetic predictions of intestinal BCRP-mediated drug interactions of rosuvastatin in Koreans”. In: The Korean Journal of Physiology & Pharmacology 22.3 (2018), p. 321. DOI: 10.4196/kjpp.2018.22.3.321. <URL: https://doi.org/10.4196/kjpp.2018.22.3.321>.

[7] S. Choi, S. Jeon, and S. Han. “Population pharmacokinetic analysis of metformin administered as fixed-dose combination in Korean healthy adults”. In: Translational and Clinical Pharmacology 26.1 (2018), p. 25. DOI: 10.12793/tcp.2018.26.1.25. <URL: https://doi.org/10.12793/tcp.2018.26.1.25>.

[8] S. Han, B. Lim, H. Lee, et al. “Development of a user-friendly training software for pharmacokinetic concepts and models”. In: Translational and Clinical Pharmacology 26.4 (2018), p. 166. DOI: 10.12793/tcp.2018.26.4.166. <URL: https://doi.org/10.12793/tcp.2018.26.4.166>.

[9] D. Yim. “Five years of the CiPA project (20132018): what did we learn?” In: Translational and Clinical Pharmacology 26.4 (2018), p. 145. DOI: 10.12793/tcp.2018.26.4.145. <URL: https://doi.org/10.12793/tcp.2018.26.4.145>.

[10] S. Han, G. H. Na, and D. Kim. “A 6-month mixed-effect pharmacokinetic model for post-transplant intravenous anti-hepatitis B immunoglobulin prophylaxis”. In: Drug Design, Development and Therapy Volume 11 (Jul. 2017), pp. 2099-2107. DOI: 10.2147/dddt.s134711. <URL: https://doi.org/10.2147/dddt.s134711>.

[11] W. Huh, H. Oh, J. S. Han, et al. “Hydrochlorothiazide does not increase furosemide's effects in end-stage renal disease”. In: Translational and Clinical Pharmacology 25.1 (2017), p. 28. DOI: 10.12793/tcp.2017.25.1.28. <URL: https://doi.org/10.12793/tcp.2017.25.1.28>.

[12] D. Jang, S. Han, and D. Yim. “Development of an automated appendix generation system (ARGUS) for clinical study reports”. In: Translational and Clinical Pharmacology 25.1 (2017), p. 34. DOI: 10.12793/tcp.2017.25.1.34. <URL: https://doi.org/10.12793/tcp.2017.25.1.34>.

[13] G. Park, S. H. Bae, W. Park, et al. “Drug&ndash$\mathsemicolon$drug interaction of microdose and regular-dose omeprazole with a CYP2C19 inhibitor and inducer”. In: Drug Design, Development and Therapy Volume11 (Mar. 2017), pp. 1043-1053. DOI: 10.2147/dddt.s131797. <URL: https://doi.org/10.2147/dddt.s131797>.

[14] W. Park, G. Park, S. Han, et al. “Human microdosing and mice xenograft data of AGM-130 applied to estimate efficacious doses in patients”. In: Cancer Chemotherapy and Pharmacology 80.2 (Jun. 2017), pp. 363-369. DOI: 10.1007/s00280-017-3373-y. <URL: https://doi.org/10.1007/s00280-017-3373-y>.

[15] N. Rajasekaran, H. S. Jung, S. H. Bae, et al. “Effect of HPV E6/E7 siRNA with Chemotherapeutic Agents on the Regulation of TP53/E2F Dynamic Behavior for Cell Fate Decisions”. In: Neoplasia 19.10 (Oct. 2017), pp. 735-749. DOI: 10.1016/j.neo.2017.07.005. <URL: https://doi.org/10.1016/j.neo.2017.07.005>.

[16] D. Yim. “Tutorial for beginners: the concept of clearance explained using the example of a vacuum cleaner”. In: Translational and Clinical Pharmacology 25.1 (2017), p. 1. DOI: 10.12793/tcp.2017.25.1.1. <URL: https://doi.org/10.12793/tcp.2017.25.1.1>.