Directing polymorph specific calcium carbonate formation with de novo protein templates
Author
Abstract
Suggested Citation
DOI: 10.1038/s41467-023-43608-1
Download full text from publisher
References listed on IDEAS
- TJ Brunette & Fabio Parmeggiani & Po-Ssu Huang & Gira Bhabha & Damian C. Ekiert & Susan E. Tsutakawa & Greg L. Hura & John A. Tainer & David Baker, 2015. "Exploring the repeat protein universe through computational protein design," Nature, Nature, vol. 528(7583), pages 580-584, December.
- Wenge Jiang & Michael S. Pacella & Dimitra Athanasiadou & Valentin Nelea & Hojatollah Vali & Robert M. Hazen & Jeffrey J. Gray & Marc D. McKee, 2017. "Chiral acidic amino acids induce chiral hierarchical structure in calcium carbonate," Nature Communications, Nature, vol. 8(1), pages 1-13, April.
- Harley Pyles & Shuai Zhang & James J. De Yoreo & David Baker, 2019. "Controlling protein assembly on inorganic crystals through designed protein interfaces," Nature, Nature, vol. 571(7764), pages 251-256, July.
- Yang Hsia & Rubul Mout & William Sheffler & Natasha I. Edman & Ivan Vulovic & Young-Jun Park & Rachel L. Redler & Matthew J. Bick & Asim K. Bera & Alexis Courbet & Alex Kang & T. J. Brunette & Una Nat, 2021. "Design of multi-scale protein complexes by hierarchical building block fusion," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
- Lyle M. Gordon & Derk Joester, 2011. "Nanoscale chemical tomography of buried organic–inorganic interfaces in the chiton tooth," Nature, Nature, vol. 469(7329), pages 194-197, January.
- Brian Koepnick & Jeff Flatten & Tamir Husain & Alex Ford & Daniel-Adriano Silva & Matthew J. Bick & Aaron Bauer & Gaohua Liu & Yojiro Ishida & Alexander Boykov & Roger D. Estep & Susan Kleinfelter & T, 2019. "De novo protein design by citizen scientists," Nature, Nature, vol. 570(7761), pages 390-394, June.
- Po-Ssu Huang & Scott E. Boyken & David Baker, 2016. "The coming of age of de novo protein design," Nature, Nature, vol. 537(7620), pages 320-327, September.
- V. Saderne & N. R. Geraldi & P. I. Macreadie & D. T. Maher & J. J. Middelburg & O. Serrano & H. Almahasheer & A. Arias-Ortiz & M. Cusack & B. D. Eyre & J. W. Fourqurean & H. Kennedy & D. Krause-Jensen, 2019. "Role of carbonate burial in Blue Carbon budgets," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
- Guomin Zhu & Maria L. Sushko & John S. Loring & Benjamin A. Legg & Miao Song & Jennifer A. Soltis & Xiaopeng Huang & Kevin M. Rosso & James J. De Yoreo, 2021. "Self-similar mesocrystals form via interface-driven nucleation and assembly," Nature, Nature, vol. 590(7846), pages 416-422, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Thomas W. Linsky & Kyle Noble & Autumn R. Tobin & Rachel Crow & Lauren Carter & Jeffrey L. Urbauer & David Baker & Eva-Maria Strauch, 2022. "Sampling of structure and sequence space of small protein folds," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- Fabian Sesterhenn & Che Yang & Jaume Bonet & Johannes T. Cramer & Xiaolin Wen & Yimeng Wang & Chi I. Chiang & Luciano Andres Abriata & Iga Kucharska & Giacomo Castoro & Sabrina S. Vollers & Marie Gall, 2020. "De novo protein design enables the precise induction of RSV-neutralizing antibodies," Post-Print hal-02677103, HAL.
- Bum Chul Park & Min Jun Ko & Young Kwang Kim & Gyu Won Kim & Myeong Soo Kim & Thomas Myeongseok Koo & Hong En Fu & Young Keun Kim, 2022. "Surface-ligand-induced crystallographic disorder–order transition in oriented attachment for the tuneable assembly of mesocrystals," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- Xingyuan San & Junwei Hu & Mingyi Chen & Haiyang Niu & Paul J. M. Smeets & Christos D. Malliakas & Jie Deng & Kunmo Koo & Roberto Reis & Vinayak P. Dravid & Xiaobing Hu, 2023. "Unlocking the mysterious polytypic features within vaterite CaCO3," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- Jordan Yang & Nandita Naik & Jagdish Suresh Patel & Christopher S Wylie & Wenze Gu & Jessie Huang & F Marty Ytreberg & Mandar T Naik & Daniel M Weinreich & Brenda M Rubenstein, 2020. "Predicting the viability of beta-lactamase: How folding and binding free energies correlate with beta-lactamase fitness," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-26, May.
- Marloes H. Bistervels & Balázs Antalicz & Marko Kamp & Hinco Schoenmaker & Willem L. Noorduin, 2023. "Light-driven nucleation, growth, and patterning of biorelevant crystals using resonant near-infrared laser heating," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
- Agnese I. Curatolo & Ofer Kimchi & Carl P. Goodrich & Ryan K. Krueger & Michael P. Brenner, 2023. "A computational toolbox for the assembly yield of complex and heterogeneous structures," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Miao Song & Dingri Zhang & Dan Leng & Jaewon Lee & Ziang Yang & Jiaxuan Chen & Dan Li & Lei Wang & Gang Zhou & Rui Yang & Kechao Zhou, 2024. "In situ atomic observations of aggregation growth and evolution of penta-twinned gold nanocrystals," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Biao Ruan & Yanan He & Yingwei Chen & Eun Jung Choi & Yihong Chen & Dana Motabar & Tsega Solomon & Richard Simmerman & Thomas Kauffman & D. Travis Gallagher & John Orban & Philip N. Bryan, 2023. "Design and characterization of a protein fold switching network," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
- Noelia Ferruz & Steffen Schmidt & Birte Höcker, 2022. "ProtGPT2 is a deep unsupervised language model for protein design," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Pengfei Tian & Robert B Best, 2020. "Exploring the sequence fitness landscape of a bridge between protein folds," PLOS Computational Biology, Public Library of Science, vol. 16(10), pages 1-19, October.
- Jessie Lynda Fields & Hua Zhang & Nathan F. Bellis & Holly A. Petersen & Sajal K. Halder & Shane T. Rich-New & Mart Krupovic & Hui Wu & Fengbin Wang, 2024. "Structural diversity and clustering of bacterial flagellar outer domains," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Julia Skokowa & Birte Hernandez Alvarez & Murray Coles & Malte Ritter & Masoud Nasri & Jérémy Haaf & Narges Aghaallaei & Yun Xu & Perihan Mir & Ann-Christin Krahl & Katherine W. Rogers & Kateryna Maks, 2022. "A topological refactoring design strategy yields highly stable granulopoietic proteins," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
- Anton Kocheturov & Panos M. Pardalos & Athanasia Karakitsiou, 2019. "Massive datasets and machine learning for computational biomedicine: trends and challenges," Annals of Operations Research, Springer, vol. 276(1), pages 5-34, May.
- Baran Hashemi & Nikolai Hartmann & Sahand Sharifzadeh & James Kahn & Thomas Kuhr, 2024. "Ultra-high-granularity detector simulation with intra-event aware generative adversarial network and self-supervised relational reasoning," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
- Guomin Zhu & Benjamin A. Legg & Michel Sassi & Xinran Liang & Meirong Zong & Kevin M. Rosso & James J. Yoreo, 2023. "Crystal dissolution by particle detachment," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- Yahong Chen & Chaoyong Yang & Zhi Zhu & Wei Sun, 2022. "Suppressing high-dimensional crystallographic defects for ultra-scaled DNA arrays," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- SM Bargeen Alam Turzo & Justin T. Seffernick & Amber D. Rolland & Micah T. Donor & Sten Heinze & James S. Prell & Vicki H. Wysocki & Steffen Lindert, 2022. "Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
- Smrithi Krishnan R & Kalyanashis Jana & Amina H. Shaji & Karthika S. Nair & Anjali Devi Das & Devika Vikraman & Harsha Bajaj & Ulrich Kleinekathöfer & Kozhinjampara R. Mahendran, 2022. "Assembly of transmembrane pores from mirror-image peptides," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Shunshi Kohyama & Béla P. Frohn & Leon Babl & Petra Schwille, 2024. "Machine learning-aided design and screening of an emergent protein function in synthetic cells," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43608-1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.