James R. Apgar

发表

Cluster expansion models for flexible‐backbone protein energetics

Gevorg Grigoryan, Amy E. Keating, Seungsoo Hahn, 2009, J. Comput. Chem..

Predicting helix orientation for coiled‐coil dimers

James R. Apgar, A. Keating, K. Gutwin, 2008, Proteins.

AB‐Bind: Antibody binding mutational database for computational affinity predictions

James R. Apgar, Sarah Sirin, A. Keating, 2016, Protein science : a publication of the Protein Society.

Modeling the flexibility of alpha helices in protein interfaces : structure based design and prediction of helix-mediated protein-protein interactions

James R. Apgar, 2008 .

Modeling and mitigation of high-concentration antibody viscosity through structure-based computer-aided protein design

James R. Apgar, Han Yang, X. Zhong, 2020, PloS one.

A Predictive Model of Intein Insertion Site for Use in the Engineering of Molecular Switches

James R. Apgar, D. Sturtevant, P. Lessard, 2012, PloS one.

Beyond CDR-grafting: Structure-guided humanization of framework and CDR regions of an anti-myostatin antibody

James R. Apgar, K. Parris, K. Svenson, 2016, mAbs.

Structure-function relationships of the soluble form of the antiaging protein Klotho have therapeutic implications for managing kidney disease

James R. Apgar, R. Kriz, X. Zhong, 2020, The Journal of Biological Chemistry.

Development of PF-06671008, a Highly Potent Anti-P-cadherin/Anti-CD3 Bispecific DART Molecule with Extended Half-Life for the Treatment of Cancer

James R. Apgar, L. Mosyak, P. Moore, 2016, Antibodies.

Establishing in vitro in vivo correlations to screen monoclonal antibodies for physicochemical properties related to favorable human pharmacokinetics

James R. Apgar, Denise M O'Hara, S. Penn, 2018, mAbs.

Engineering a thermoregulated intein-modified xylanase into maize for consolidated lignocellulosic biomass processing

James R. Apgar, Nathan A. Ekborg, Dongcheng Zhang, 2012, Nature Biotechnology.

Discovery and optimization of a novel anti-GUCY2c x CD3 bispecific antibody for the treatment of solid tumors

James R. Apgar, Liliana Wroblewska, L. Mosyak, 2021, mAbs.

Modeling backbone flexibility to achieve sequence diversity: the design of novel alpha-helical ligands for Bcl-xL.

James R. Apgar, Amy E Keating, A. Keating, 2007, Journal of molecular biology.

Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation

James R. Apgar, B. Rai, E. Bennett, 2023, Scientific Reports.

Augmented Binary Substitution: Single-pass CDR germ-lining and stabilization of therapeutic antibodies

James R. Apgar, Sue Townsend, Janet E. Paulsen, 2015, Proceedings of the National Academy of Sciences.

Combining random mutagenesis, structure-guided design and next-generation sequencing to mitigate polyreactivity of an anti-IL-21R antibody

James R. Apgar, Joe DeBartolo, E. Bennett, 2021, mAbs.