Literature DB >> 25302340

A Database Developed with Information Extracted from Chemotherapy Drug Package Inserts to Enhance Future Prescriptions.

Malcolm J D'Souza1, Ghada J Alabed2, Jordan M Wheatley, Natalia Roberts, Yogasudha Veturi, Xia Bi, Christopher Hart Continisio.   

Abstract

Package inserts of Food and Drug Administration (FDA) approved prescription drugs, including chemotherapy drugs, must follow a specific format imposed by the FDA. These inserts are created by unrelated pharmaceutical companies and as a result tend to be very different in the way the required information is reported. Chemical and pharmacokinetic properties including absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) are crucial elements to a prescribing information packet and are often missing from the reported data. This undergraduate research project analyzes the information packets of 85 randomly chosen chemically diverse chemotherapy drugs for four parameters important to patient care; viz, volume of distribution (VD), elimination half-life (t1/2), bioavailability, and water solubility. The prescribing information from the package inserts of each was analyzed in detail and pertinent information was consequently tabulated into a database using a commercial informatics platform. Then using a substructure search-tool, sixty-five chemotherapy drugs containing a carbonyl group in their chemical structure were selected and as hypothesized, it was found that many of these packets were significantly lacking in the reporting of the four parameters of interest. To further enhance this cataloged data, a freely available online database was consequently developed (http://annotation.dbi.udel.edu/CancerDB/) with the intention that the chemical, biological, and clinical community will now add some of the missing parameters.

Entities:  

Keywords:  ADME/Tox; bioavailability; chemotherapy; database; elimination prescribing information packets; half-life; pharmaceutical drugs; volume of distribution; water solubility

Year:  2011        PMID: 25302340      PMCID: PMC4187114     

Source DB:  PubMed          Journal:  Conf Comput Vis Pattern Recognit Workshops        ISSN: 2160-7508


  8 in total

1.  Structure Activity Relationships (SARs) Using a Structurally Diverse Drug Database: Validating Success of Predictor Tools.

Authors:  Malcolm J D'Souza; Fumie Koyoshi; Lynn M Everett
Journal:  Pharm Rev       Date:  2009 Sep-Oct

2.  Educating patients about their medications: the potential and limitations of written drug information.

Authors:  William H Shrank; Jerry Avorn
Journal:  Health Aff (Millwood)       Date:  2007 May-Jun       Impact factor: 6.301

3.  Applying organ clearance concepts in a clinical setting.

Authors:  Jorge Duconge
Journal:  Am J Pharm Educ       Date:  2008-10-15       Impact factor: 2.047

4.  Precompetitive preclinical ADME/Tox data: set it free on the web to facilitate computational model building and assist drug development.

Authors:  Sean Ekins; Antony J Williams
Journal:  Lab Chip       Date:  2009-11-10       Impact factor: 6.799

5.  Deficiencies in the reporting of VD and t(1/2) in the FDA approved chemotherapy drug inserts.

Authors:  Malcolm J D'Souza; Ghada J Alabed
Journal:  Pharm Rev       Date:  2010-02-03

6.  Extracting Relevant Information from FDA Drug Files to Create a Structurally Diverse Drug Database Using KnowItAll®

Authors:  Malcolm J D'Souza; Fumie Koyoshi
Journal:  Pharm Rev       Date:  2009-05-08

7.  Pharmacology of Chemotherapy in the Older Cancer Patient.

Authors: 
Journal:  Cancer Control       Date:  1999-10       Impact factor: 3.302

8.  Predicting toxicity through computers: a changing world.

Authors:  Emilio Benfenati
Journal:  Chem Cent J       Date:  2007-12-18       Impact factor: 4.215

  8 in total
  5 in total

1.  Evolution of a Structure-Searchable Database into a Prototype for a High-Fidelity SmartPhone App for 62 Common Pesticides Used in Delaware.

Authors:  Malcolm J D'Souza; Benjamin Barile; Aaron F Givens
Journal:  ... Int Conf Ind Instrum Control       Date:  2015-05

2.  Undergraduate Research, Data-Science Courses, and Volunteer Projects, Inform and Accelerate Wesley College's Retention Among First- and Second- Year Students.

Authors:  Lily S Neff; Malcolm J D'Souza
Journal:  Proc Natl Conf Undergrad Res       Date:  2019

3.  Integrative Biological Chemistry Program Includes The Use Of Informatics Tools, GIS And SAS Software Applications.

Authors:  Malcolm J D'Souza; Richard J Kashmar; Kent Hurst; Frank Fiedler; Catherine E Gross; Jasbir K Deol; Alora Wilson
Journal:  Contemp Issues Educ Res (Littleton)       Date:  2015 Third Quarter

4.  Data-intensive Undergraduate Research Project Informs to Advance Healthcare Analytics.

Authors:  M J D'Souza; D Wentzien; R Bautista; J Santana; M Skivers; S Stotts; F Fiedler
Journal:  IEEE Signal Process Med Biol Symp       Date:  2019-01-17

5.  Manipulating In-House Designed Drug Databases For The Prediction of pH-Dependent Aqueous Drug Solubility.

Authors:  Malcolm J D'Souza; Ghada J Alabed; Melissa Earley; Natalia Roberts; Fady J Gerges
Journal:  Am J Health Sci       Date:  2013
  5 in total

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