Literature DB >> 16796392

Discovery pharmaceutics--challenges and opportunities.

Xue-Qing Chen1, Melissa D Antman, Christoph Gesenberg, Olafur S Gudmundsson.   

Abstract

Most pharmaceutical companies are now evaluating compounds for druglike properties early in the discovery process. The data generated at these early stages allow upfront identification of potential development challenges and thus selection of the best candidates for lead nomination. Most often, lead nomination candidates are selected based on pharmacological and toxicological data. However, many drugs in development suffer from poor biopharmaceutical properties due to suboptimal physiochemical parameters. The poor biopharmaceutical properties often lead to extended timelines and a higher cost of developing the compounds. To avoid these problems and choose the best compounds from a biopharmaceutical perspective, physicochemical parameters such as solubility, lipophilicity, and stability need to be evaluated as early as possible. Furthermore, the preformulation approaches used to evaluate the compounds for their pharmacokinetic and toxicological properties need to be optimized. This minireview summarizes some of the parameters and approaches that can be used to evaluate compounds in the early stages of drug discovery.

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Year:  2006        PMID: 16796392      PMCID: PMC3231571          DOI: 10.1007/bf02854912

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  23 in total

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Authors:  Peter Simon; Miroslav Veverka; Jozef Okuliar
Journal:  Int J Pharm       Date:  2004-02-11       Impact factor: 5.875

Review 2.  General pharmaceutics--the new physical pharmacy.

Authors:  E F Gene Fiese
Journal:  J Pharm Sci       Date:  2003-07       Impact factor: 3.534

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Authors:  Li Di; Edward H Kerns
Journal:  Curr Opin Chem Biol       Date:  2003-06       Impact factor: 8.822

Review 4.  Impact of solid state properties on developability assessment of drug candidates.

Authors:  Lian-Feng Huang; Wei-Qin Tong
Journal:  Adv Drug Deliv Rev       Date:  2004-02-23       Impact factor: 15.470

Review 5.  Cationic amphiphilic drugs and phospholipid storage disorder.

Authors:  U P Kodavanti; H M Mehendale
Journal:  Pharmacol Rev       Date:  1990-12       Impact factor: 25.468

6.  Predictive strategy for the rapid structure elucidation of drug degradants.

Authors:  R A Rourick; K J Volk; S E Klohr; T Spears; E H Kerns; M S Lee
Journal:  J Pharm Biomed Anal       Date:  1996-09       Impact factor: 3.935

7.  Solubility principles and practices for parenteral drug dosage form development.

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Journal:  PDA J Pharm Sci Technol       Date:  1996 Sep-Oct

8.  Effect of pH on injection phlebitis.

Authors:  P Simamora; S Pinsuwan; J M Alvarez; P B Myrdal; S H Yalkowsky
Journal:  J Pharm Sci       Date:  1995-04       Impact factor: 3.534

9.  Automated analytical systems for drug development studies. I--A system for the determination of drug stability.

Authors:  K P Shah; J Zhou; R Lee; R L Schowen; R Elsbernd; J M Ault; J F Stobaugh; M Slavik; C M Riley
Journal:  J Pharm Biomed Anal       Date:  1994-08       Impact factor: 3.935

10.  ICH guidance in practice: establishment of inherent stability of secnidazole and development of a validated stability-indicating high-performance liquid chromatographic assay method.

Authors:  Monika Bakshi; Saranjit Singh
Journal:  J Pharm Biomed Anal       Date:  2004-11-19       Impact factor: 3.935

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  5 in total

1.  Evaluation of physical and chemical changes in pharmaceuticals flown on space missions.

Authors:  Brian Du; Vernie R Daniels; Zalman Vaksman; Jason L Boyd; Camille Crady; Lakshmi Putcha
Journal:  AAPS J       Date:  2011-04-09       Impact factor: 4.009

2.  Uncovering New Drug Properties in Target-Based Drug-Drug Similarity Networks.

Authors:  Lucreţia Udrescu; Paul Bogdan; Aimée Chiş; Ioan Ovidiu Sîrbu; Alexandru Topîrceanu; Renata-Maria Văruţ; Mihai Udrescu
Journal:  Pharmaceutics       Date:  2020-09-16       Impact factor: 6.321

3.  Preformulation studies of Zidovudine derivatives: Acid dissociation constants, differential scanning calorimetry, thermogravimetry, x-ray powder diffractometry and aqueous stability studies.

Authors:  Mónica A Raviolo; Margarita C Briñón
Journal:  Sci Pharm       Date:  2011-07-25

4.  Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing.

Authors:  Lucreţia Udrescu; Laura Sbârcea; Alexandru Topîrceanu; Alexandru Iovanovici; Ludovic Kurunczi; Paul Bogdan; Mihai Udrescu
Journal:  Sci Rep       Date:  2016-09-07       Impact factor: 4.379

5.  Drug Repurposing Using Modularity Clustering in Drug-Drug Similarity Networks Based on Drug-Gene Interactions.

Authors:  Vlad Groza; Mihai Udrescu; Alexandru Bozdog; Lucreţia Udrescu
Journal:  Pharmaceutics       Date:  2021-12-08       Impact factor: 6.321

  5 in total

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