Literature DB >> 28090096

A Bioinformatics Practicum to Develop Student Understanding of Immunological Rejection of Protein Drugs.

Lauren A O'Donnell1, Wilson S Meng1, Benjamin J Andrick1, Alexa M Borello1.   

Abstract

Objectives. To design and implement a bioinformatics exercise that applies immunological principles to predicting rejection of protein drugs based upon patient genotype. Design. Doctor of pharmacy (PharmD) students used the Immune Epitope Database, a freely available bioinformatics tool. Over a 2-week laboratory, students interrogated whether a protein drug would be predicted to induce an immune response based upon patient genotype. Results were presented at the last laboratory session, and students completed reports discussing their findings. Assessment. Pre-lab quizzes and a final report were graded. Students answered questionnaires assessing perceived learning gains. To determine the impact on student understanding of immunity against protein drugs, the quality of student data analysis and comparisons to class data were graded. Independent measures of student learning demonstrated that students developed a greater understanding of how patient genotype could contribute to treatment failure with protein drugs. Conclusions. This study indicates that questions related to clinical immunology can be posed using bioinformatics tools.

Entities:  

Keywords:  anti-drug antibodies; bioinformatics; biologics; major histocompatibility complex; protein drugs

Mesh:

Substances:

Year:  2016        PMID: 28090096      PMCID: PMC5221830          DOI: 10.5688/ajpe809147

Source DB:  PubMed          Journal:  Am J Pharm Educ        ISSN: 0002-9459            Impact factor:   2.047


  11 in total

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5.  The curation guidelines of the immune epitope database and analysis resource.

Authors:  R Vita; B Peters; A Sette
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6.  Five amino acids in three HLA proteins explain most of the association between MHC and seropositive rheumatoid arthritis.

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7.  Predicting Hemagglutinin MHC-II Ligand Analogues in Anti-TNFα Biologics: Implications for Immunogenicity of Pharmaceutical Proteins.

Authors:  Benjamin J Andrick; Alexandra I Schwab; Brianna Cauley; Lauren A O'Donnell; Wilson S Meng
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8.  The immune epitope database 2.0.

Authors:  Randi Vita; Laura Zarebski; Jason A Greenbaum; Hussein Emami; Ilka Hoof; Nima Salimi; Rohini Damle; Alessandro Sette; Bjoern Peters
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

Review 9.  Evaluating the immunogenicity of protein drugs by applying in vitro MHC binding data and the immune epitope database and analysis resource.

Authors:  Sinu Paul; Ravi V Kolla; John Sidney; Daniela Weiskopf; Ward Fleri; Yohan Kim; Bjoern Peters; Alessandro Sette
Journal:  Clin Dev Immunol       Date:  2013-10-08

10.  The immune epitope database (IEDB) 3.0.

Authors:  Randi Vita; James A Overton; Jason A Greenbaum; Julia Ponomarenko; Jason D Clark; Jason R Cantrell; Daniel K Wheeler; Joseph L Gabbard; Deborah Hix; Alessandro Sette; Bjoern Peters
Journal:  Nucleic Acids Res       Date:  2014-10-09       Impact factor: 16.971

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