Literature DB >> 15696150

Integrating cell-level kinetic modeling into the design of engineered protein therapeutics.

Balaji M Rao1, Douglas A Lauffenburger, K Dane Wittrup.   

Abstract

Functional genomics and proteomics are identifying many potential drug targets for novel therapeutic proteins, and both rational and combinatorial protein engineering methods are available for creating drug candidates. A central challenge is the definition of the most appropriate design criteria, which will benefit critically from computational kinetic models that incorporate integration from the molecular level to the whole systems level. Interpretation of these processes will require mathematical models that are refined in combination with relevant data derived from quantitative assays, to correctly set biophysical objectives for protein design.

Mesh:

Year:  2005        PMID: 15696150     DOI: 10.1038/nbt1064

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  15 in total

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2.  Structural determinants of affinity enhancement between GoLoco motifs and G-protein alpha subunit mutants.

Authors:  Dustin E Bosch; Adam J Kimple; Deanne W Sammond; Robin E Muller; Michael J Miley; Mischa Machius; Brian Kuhlman; Francis S Willard; David P Siderovski
Journal:  J Biol Chem       Date:  2010-11-29       Impact factor: 5.157

3.  Structure-based protocol for identifying mutations that enhance protein-protein binding affinities.

Authors:  Deanne W Sammond; Ziad M Eletr; Carrie Purbeck; Randall J Kimple; David P Siderovski; Brian Kuhlman
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Review 4.  At the bench: the key role of PK-PD modelling in enabling the early discovery of biologic therapies.

Authors:  Mark Penney; Balaji Agoram
Journal:  Br J Clin Pharmacol       Date:  2014-05       Impact factor: 4.335

5.  Pairwise comparison of 89Zr- and 124I-labeled cG250 based on positron emission tomography imaging and nonlinear immunokinetic modeling: in vivo carbonic anhydrase IX receptor binding and internalization in mouse xenografts of clear-cell renal cell carcinoma.

Authors:  Sarah M Cheal; Blesida Punzalan; Michael G Doran; Michael J Evans; Joseph R Osborne; Jason S Lewis; Pat Zanzonico; Steven M Larson
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-03-07       Impact factor: 9.236

6.  Predicting the F(ab)-mediated effect of monoclonal antibodies in vivo by combining cell-level kinetic and pharmacokinetic modelling.

Authors:  Ben-Fillippo Krippendorff; Diego A Oyarzún; Wilhelm Huisinga
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-03-08       Impact factor: 2.745

7.  Cellular level models as tools for cytokine design.

Authors:  Mala L Radhakrishnan; Bruce Tidor
Journal:  Biotechnol Prog       Date:  2010 Jul-Aug

8.  Selection and characterization of the novel anti-human PD-1 FV78 antibody from a targeted epitope mammalian cell-displayed antibody library.

Authors:  Longlong Luo; Shi Wang; Xiaoling Lang; Tingting Zhou; Jing Geng; Xinying Li; Chunxia Qiao; Jiannan Feng; Beifen Shen; Ming Lv; Yan Li
Journal:  Cell Mol Immunol       Date:  2016-08-08       Impact factor: 11.530

Review 9.  Multiscale models of breast cancer progression.

Authors:  Anirikh Chakrabarti; Scott Verbridge; Abraham D Stroock; Claudia Fischbach; Jeffrey D Varner
Journal:  Ann Biomed Eng       Date:  2012-09-25       Impact factor: 3.934

10.  Kinetics of anti-carcinoembryonic antigen antibody internalization: effects of affinity, bivalency, and stability.

Authors:  Michael M Schmidt; Greg M Thurber; K Dane Wittrup
Journal:  Cancer Immunol Immunother       Date:  2008-04-12       Impact factor: 6.968

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