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David L. Kaplan

Affiliations: 
Biomedical Engineering Tufts University, Boston 
Area:
biopolymer engineering
Website:
http://engineering.tufts.edu/bme/people/kaplan/
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"David Kaplan"
Bio:

https://books.google.com/books?id=2ycoAQAAIAAJ

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Parents

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Roy Charles Hartenstein grad student 1978 State University of New York at Syracuse (Terrestrial Ecology Tree)
 (Metabolism of aromatic compounds, including lignins, by soil organisms.)

Children

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Francisco J. Martin-Martinez grad student (E-Tree)
Julia Yelick grad student (Neurotree)
Stefan A. Winkler grad student 2000 Tufts
Gregory H. Altman grad student 2002 Tufts (BME Tree)
Anna A. Panova grad student 2003 Tufts
Donna L. Wilson grad student 2003 Tufts
Vassilis Karageorgiou grad student 2004 Tufts
Joshua R. Mauney grad student 2004 Tufts
Leah C. Abraham grad student 2005 Tufts
Yongzhong Wang grad student 2006 Tufts
Cheryl T. Wong Po Foo grad student 2006 Tufts
Tim Harrah grad student 2008 Tufts
Olena S. Rabotyagova grad student 2008 Tufts
Jennifer H. Choi grad student 2009 Tufts
Michael P. Mercaldi grad student 2009 Tufts
Julia A. O'Rourke grad student 2009 Tufts
Charu P. Vepari grad student 2009 Tufts
Xiao Hu grad student 2007-2009 (Physics Tree)
Eleanor M. Pritchard grad student 2011 Tufts
Michaela R. Reagan grad student 2011 Tufts
Sarah Sundelacruz grad student 2011 Tufts
Evangelia Bellas grad student 2012 Tufts
Dean L. Glettig grad student 2012 Tufts
Daniel J. Hines grad student 2012 Tufts
Sreevidhya Tarakkad Krishnaji grad student 2012 Tufts
Marie C. Tupaj grad student 2012 Tufts
Amanda L. Baryshyan grad student 2013 Tufts
Amy M. Hopkins grad student 2013 Tufts
Reynald M. Lescarbeau grad student 2013 Tufts
Roberto Elia grad student 2014 Tufts
Rebecca S. Hayden grad student 2014 Tufts
Lee W. Tien grad student 2014 Tufts
Lindsay S. Wray grad student 2014 Tufts
Rod R. Jose grad student 2015 Tufts
Chengchen Guo post-doc 2017- Tufts
Xiao Hu post-doc 2009-2012 (Physics Tree)
Jeannine M. Coburn post-doc 2012-2016 Tufts
Jingjie Yeo post-doc 2018-2018 Tufts (E-Tree)
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Publications

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Ni B, Kaplan DL, Buehler MJ. (2023) ForceGen: End-to-end protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model. Arxiv
Ni B, Kaplan DL, Buehler MJ. (2023) Generative design of proteins based on secondary structure constraints using an attention-based diffusion model. Chem. 9: 1828-1849
Sun S, Wang M, Knupp SA, et al. (2023) Correction to "Combinatorial Library of Lipidoids for In Vitro DNA Delivery". Bioconjugate Chemistry
Khare E, Peng X, Martín-Moldes Z, et al. (2023) Application of the Interagency and Modeling Analysis Group Model Verification Approach for Scientific Reproducibility in a Study of Biomineralization. Acs Biomaterials Science & Engineering
Foster O, Shaidani S, Theodossiou SK, et al. (2023) Sudan Black B Pretreatment to Suppress Autofluorescence in Silk Fibroin Scaffolds. Acs Biomaterials Science & Engineering
Milazzo M, Fitzpatrick V, Owens CE, et al. (2023) 3D Printability of Silk/Hydroxyapatite Composites for Microprosthetic Applications. Acs Biomaterials Science & Engineering
Shen SC, Khare E, Lee NA, et al. (2023) Computational Design and Manufacturing of Sustainable Materials through First-Principles and Materiomics. Chemical Reviews
Nepal D, Kang S, Adstedt KM, et al. (2022) Hierarchically structured bioinspired nanocomposites. Nature Materials
Khare E, Yu CH, Gonzalez Obeso C, et al. (2022) Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation. Proceedings of the National Academy of Sciences of the United States of America. 119: e2209524119
Khare E, Gonzalez-Obeso C, Kaplan DL, et al. (2022) CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach. Acs Biomaterials Science & Engineering
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