• Title/Summary/Keyword: Development of New Drug

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Stereochemical Issues in Chiral Drug Development (광학활성의약품 개발과정에서의 입체화학적 문제)

  • Choi, Sun-Ok;Jung, Sung-Hee;Um, So-Young;Jung, Seo-Jeong;Kim, Joo-Il;Chung, Soo-Youn
    • Journal of Pharmaceutical Investigation
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    • v.35 no.1
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    • pp.57-63
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    • 2005
  • Numerous drugs are chiral because they possess one or more chiral centers. Enantiomers may differ in their pharmacokinetic, pharmacological and toxicological properties. However, the significance of stereochemistry of drugs in their therapeutic uses has received relatively little attention until recently. The US FDA issued a guideline on stereoisomeric drugs in 1992, and the European agency describes tests for new drug substances which are optically active in an ICH(International Conference of Harmonization) guideline. According to the guidance, enantiomers may differ in their pharmacokinetic, pharmacological and toxicological properties. Therefore, in this paper, we examined the recently published Canadian guidance, stereochemical issues in chiral drug development, which will be references to make a guidance on stereochemical issues in chiral drug development in Korea.

Silica Induces Nuclear Factor-kB Activation through TAK1 and NIK in Rat2 cell line

  • Young Lim;Nam, Hae-Yun;Rha, Suk-Joo;Kim, Young-Hoon;Cho, Yong-Yeun;Yang, Ki-Hwa;Kim, Kyoung-Ah;Lee, Kweon-Haeng
    • Proceedings of the Korean Society of Toxicology Conference
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    • 2003.05a
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    • pp.75-75
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    • 2003
  • Silica has been known to be a factor in acute cell injury and chronic pulmonary fibrosis. In Rat2 fibroblasts, silica induced the activation of NFkB, which plays a crucial role in regulating the expression of many genes involved in the subsequent inflammatory response. In addition, we observed that TAK1 and NIK were involved in silica-mediated NF-kB activation in Rat2 cells. (omitted)

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National Strategic Planning For Facilitating the Development of New Drugs in the Korea Food and Drug Administration (국내 신약개발 촉진을 위한 식약청의 국가연구개발 사업 전략수립)

  • Kim, Jong-Wook;Kwon, Kwang-Il;Yoo, Kwang-Soo;Park, So-Hyun;Lim, Chul-Joo;Choi, Don-Woong
    • Journal of the Korean Applied Science and Technology
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    • v.25 no.4
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    • pp.539-555
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    • 2008
  • It is well understood that developing new drugs is one of the highest value-added businesses in a country; however, the current governments' spending in pharmaceutical research and development(R&D) is minimal in Korea. This paper suggests that different governmental bodies should take in charge of different stages of the R&D process in order to maximize the use of limited government research funding. First, during the initial phase of the drug development, including clinical trials, the Ministry of Education, Science and Technology is the most appropriate governmental organization to support the research. For later procedures such as supporting the industries for exporting developed drugs, legislative approvals, and building infrastructure for future clinical trials should be supported by the Ministry of Knowledge and Economy and the Ministry of Health and Welfare along with the Korea Food and Drug Administration(KFDA). The KFDA, which is the main governmental agency approving newly developed drugs in the market, will need to take a crucial responsibility in the initial phase of the pharmaceutical R&D by guiding the industries with timely and proper information. As a first step, it is recommended to set up and operate a center for supporting new drugs, so that the industries can facilitate the development of marketable drugs which meet customers' needs. Later, in order to expedite the process of exporting and getting approvals of the newly developed drugs from foreign countries, it is necessary to develop new approval system, which includes introduction of the Good Manufacturing Practice (GMP), mandatory validation system, and education program for supporting expertise. Lastly, the KFDA needs to take an active role in developing Korean pharmaceutical industries by communicating with other foreign governments with regards to the globalization of the Korean pharmaceutical industries. For example, as a follow up after the Free Trade Agreement(FTA), active discussion on GLP of Mutual Recognition Agreement(MRA) with the United States of America, should be seriously considered.

KF-1607, a Novel Pan Src Kinase Inhibitor, Attenuates Obstruction-Induced Tubulointerstitial Fibrosis in Mice

  • Dorotea, Debra;Lee, Seungyeon;Lee, Sun Joo;Lee, Gayoung;Son, Jung Beom;Choi, Hwan Geun;Ahn, Sung-Min;Ha, Hunjoo
    • Biomolecules & Therapeutics
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    • v.29 no.1
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    • pp.41-51
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    • 2021
  • Src family kinases (SFKs), an important group of non-receptor tyrosine kinases, are suggested to be excessively activated during various types of tissue fibrosis. The present study investigated the effect of KF-1607, an orally active and a newly synthesized Src kinase inhibitor (SKI) with proposed low toxicity, in preventing the progression of renal interstitial fibrosis. Unilateral ureteral obstruction (UUO) surgery was performed in 6-week-old male C57BL/6 mice to induce renal interstitial fibrosis. Either KF-1607 (30 mg/kg, oral gavage) or PP2 (2 mg/kg, intraperitoneal injection), a common experimental SKI, was administered to mice for seven days, started one day prior to surgery. UUO injury-induced SFK expression, including Src, Fyn, and Lyn kinase. SFK inhibition by KF-1607 prevented the progression of tubular injury in UUO mice, as indicated by decreases in albuminuria, urinary KIM-1 excretion, and kidney NGAL protein expression. Renal tubulointerstitial fibrosis was attenuated in response to KF-1607, as shown by decreases in α-SMA, collagen I and IV protein expression, along with reduced Masson's trichrome and collagen-I staining in kidneys. KF-1607 also inhibited inflammation in the UUO kidney, as exhibited by reductions in F4/80 positive-staining and protein expression of p-NFκB and ICAM. Importantly, the observed effects of KF-1607 were similar to those of PP2. A new pan Src kinase inhibitor, KF-1607, is a potential pharmaceutical agent to prevent the progression of renal interstitial fibrosis.

Importance of Silicon Atom in the Drug Design Process

  • Gadhe, Changdev G.;Cho, Seung Joo
    • Journal of Integrative Natural Science
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    • v.5 no.4
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    • pp.229-232
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    • 2012
  • The pharmaceutical industry has an ongoing need for new, safe medicines with genuine biomedical effects. Most of the candidate molecules are far from becomes a drug, because of their pharmacokinetic and pharmacodynamic properties. The introduction of bioisostere to improve properties of molecules and to obtain new class of compound is currently increased. Silicon substitution of carbon of existing drugs is an attractive strategy to search a new candidate with improved biological and physicochemical properties. The fundamental differences between carbon and silicon can lead to improved profile of the silicon containing candidate, and could be exploited to get further benefit in drug design process.

New Drug Development of Myotonic Muscular Dystrophy

  • Kang, Min Sung;Shin Jin-Hong
    • Journal of Interdisciplinary Genomics
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    • v.3 no.2
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    • pp.25-29
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    • 2021
  • Myotonic muscular dystrophy is a disease characterized by progressive muscle weakness with myotonia and multiorgan involvement. Two subtypes have been recognized; each subtype is caused by nucleotide repeat expansion. So far, there has been no cure for myotonic muscular dystrophy. In this article, we introduce ongoing clinical trials for new drugs to modify disease course by correcting genetic derangement or its downstream in myotonic dystrophy type 1.

Analysis of Research Trends in New Drug Development with Artificial Intelligence Using Text Mining (텍스트 마이닝을 이용한 인공지능 활용 신약 개발 연구 동향 분석)

  • Jae Woo Nam;Young Jun Kim
    • Journal of Life Science
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    • v.33 no.8
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    • pp.663-679
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    • 2023
  • This review analyzes research trends related to new drug development using artificial intelligence from 2010 to 2022. This analysis organized the abstracts of 2,421 studies into a corpus, and words with high frequency and high connection centrality were extracted through preprocessing. The analysis revealed a similar word frequency trend between 2010 and 2019 to that between 2020 and 2022. In terms of the research method, many studies using machine learning were conducted from 2010 to 2020, and since 2021, research using deep learning has been increasing. Through these studies, we investigated the trends in research on artificial intelligence utilization by field and the strengths, problems, and challenges of related research. We found that since 2021, the application of artificial intelligence has been expanding, such as research using artificial intelligence for drug rearrangement, using computers to develop anticancer drugs, and applying artificial intelligence to clinical trials. This article briefly presents the prospects of new drug development research using artificial intelligence. If the reliability and safety of bio and medical data are ensured, and the development of the above artificial intelligence technology continues, it is judged that the direction of new drug development using artificial intelligence will proceed to personalized medicine and precision medicine, so we encourage efforts in that field.

Case Study on the Effect of IPO on the Technology Commercialization Performance of the New Drug Development Bio Venture Company (증권시장 상장이 신약개발 바이오벤처기업의 기술사업화 성과에 미치는 사례연구)

  • Kim, Ju Young;Ha, Kyu Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.1
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    • pp.151-166
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    • 2019
  • New drug development requires 10 to 15 years of long time and more than $ 1 billion in funding, ranging from basic research${\rightarrow}$preclinical medicine${\rightarrow}$clinical medicine${\rightarrow}$product approval${\rightarrow}$sales. Many new drug development bio-venture companies will continue to pursue new drug development with funds secured through listing on the securities market. This study focuses on the impact of the listing on the market of bio-venture companies in the development of new drugs. It is necessary to determine whether the increase in registered patent, preclinical, clinical and technology transfer contracts at the time of listing (D) The results of this study are as follows. We also analyzed whether the registered patent, preclinical, and clinical effects had significant effect on technology transfer contracts at two years after listing and listing. The results of the analysis are as follows. First, Korea's new drug development bio-venture firms increased their registered patents but did not increase their pre-clinical, clinical and technology transfer contracts. Second, at the time of listing and two years after listing, pre-employment has a significant effect on Korea's technology transfer contracts and has a significant effect on overseas technology transfer contracts. However, registered patents and clinics have significant influence on technology transfer contracts. Korea 's new drug development bio-venture firms showed patent increase despite the stock market listing, but pre-clinical, clinical and technology transfer contracts did not increase. In order to strengthen technological commercialization of new drug development bio-venture companies in the future, it is required to establish R & D strategy for efficient use of IPO subscription funds, open innovation through strengthening industry-academia-partnerships, and more sophisticated preclinical and clinical strategy establishment.

Rapid Analysis of Metabolic Stability and Structure of Metabolites in New Drug Development

  • Kim, Dong-Hyun
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.86-87
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    • 2002
  • Recent technological innovations in the drug discovery process such as combinatorial synthesis and high throughput screening have led to the identification of an increasingly large number of compounds at the hits-to-leads stage. Therefore, rapid and precise pharmacokinetic/metabolic screening is essential to enhance the tractability of selected leads and to minimize the risk of failure in the later stages of drug development. (omitted)

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Target Prediction Based On PPI Network

  • Lee, Taekeon;Hwang, Youhyeon;Oh, Min;Yoon, Youngmi
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.3
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    • pp.65-71
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    • 2016
  • To reduce the expenses for development a novel drug, systems biology has been studied actively. Target prediction, a part of systems biology, contributes to finding a new purpose for FDA(Food and Drug Administration) approved drugs and development novel drugs. In this paper, we propose a classification model for predicting novel target genes based on relation between target genes and disease related genes. After collecting known target genes from TTD(Therapeutic Target Database) and disease related genes from OMIM(Online Mendelian Inheritance in Man), we analyzed the effect of target genes on disease related genes based on PPI(Protein-Protein Interactions) network. We focused on the distinguishing characteristics between known target genes and random target genes, and used the characteristics as features for building a classifier. Because our model is constructed using information about only a disease and its known targets, the model can be applied to unusual diseases without similar drugs and diseases, while existing models for finding new drug-disease associations are based on drug-drug similarity and disease-disease similarity. We validated accuracy of the model using LOOCV of ten times and the AUCs were 0.74 on Alzheimer's disease and 0.71 on Breast cancer.