Patrick Barth - Publications

Affiliations: 
 

24 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Rudden LSP, Hijazi M, Barth P. Deep learning approaches for conformational flexibility and switching properties in protein design. Frontiers in Molecular Biosciences. 9: 928534. PMID 36032687 DOI: 10.3389/fmolb.2022.928534  0.33
2020 Yin J, Chen KM, Clark MJ, Hijazi M, Kumari P, Bai XC, Sunahara RK, Barth P, Rosenbaum DM. Structure of a D2 dopamine receptor-G-protein complex in a lipid membrane. Nature. PMID 32528175 DOI: 10.1038/S41586-020-2379-5  0.305
2020 Leman JK, Weitzner BD, Lewis SM, Adolf-Bryfogle J, Alam N, Alford RF, Aprahamian M, Baker D, Barlow KA, Barth P, Basanta B, Bender BJ, Blacklock K, Bonet J, Boyken SE, et al. Macromolecular modeling and design in Rosetta: recent methods and frameworks. Nature Methods. PMID 32483333 DOI: 10.1038/S41592-020-0848-2  0.318
2020 Chen KM, Keri D, Barth P. Computational design of G Protein-Coupled Receptor allosteric signal transductions. Nature Chemical Biology. 16: 77-86. PMID 31792443 DOI: 10.1038/S41589-019-0407-2  0.353
2018 Keri D, Barth P. Reprogramming G protein coupled receptor structure and function. Current Opinion in Structural Biology. 51: 187-194. PMID 30055347 DOI: 10.1016/J.Sbi.2018.07.008  0.333
2018 Young M, Dahoun T, Sokrat B, Arber C, Chen KM, Bouvier M, Barth P. Computational design of orthogonal membrane receptor-effector switches for rewiring signaling pathways. Proceedings of the National Academy of Sciences of the United States of America. PMID 29915030 DOI: 10.1073/Pnas.1718489115  0.334
2017 Lai JK, Ambia J, Wang Y, Barth P. Enhancing Structure Prediction and Design of Soluble and Membrane Proteins with Explicit Solvent-Protein Interactions. Structure (London, England : 1993). PMID 28966016 DOI: 10.1016/J.Str.2017.09.002  0.385
2017 Arber C, Young M, Barth P. Reprogramming cellular functions with engineered membrane proteins. Current Opinion in Biotechnology. 47: 92-101. PMID 28709113 DOI: 10.1016/J.Copbio.2017.06.009  0.365
2017 Feng X, Ambia J, Chen KM, Young M, Barth P. Computational design of ligand-binding membrane receptors with high selectivity. Nature Chemical Biology. PMID 28459439 DOI: 10.1038/Nchembio.2371  0.355
2016 Barth P, Senes A. Toward high-resolution computational design of the structure and function of helical membrane proteins. Nature Structural & Molecular Biology. 23: 475-80. PMID 27273630 DOI: 10.1038/Nsmb.3231  0.393
2016 Basanta B, Chan KK, Barth P, King T, Hinshaw JR, Sosnick TR, Liu G, Everett J, Xiao R, Montelione GT, Baker D. Introduction of a polar core into the de novo designed protein Top7. Protein Science : a Publication of the Protein Society. PMID 26873166 DOI: 10.1002/Pro.2899  0.461
2016 Feng X, Barth P. A topological and conformational stability alphabet for multipass membrane proteins. Nature Chemical Biology. PMID 26780406 DOI: 10.1038/Nchembio.2001  0.321
2016 Barth P. Uncovering and Reprogramming G Protein Coupled Receptor Signaling Biophysical Journal. 110: 21a. DOI: 10.1016/J.Bpj.2015.11.175  0.349
2015 Wang Y, Barth P. Evolutionary-guided de novo structure prediction of self-associated transmembrane helical proteins with near-atomic accuracy. Nature Communications. 6: 7196. PMID 25995083 DOI: 10.1038/Ncomms8196  0.366
2014 Chen KY, Sun J, Salvo JS, Baker D, Barth P. High-resolution modeling of transmembrane helical protein structures from distant homologues. Plos Computational Biology. 10: e1003636. PMID 24854015 DOI: 10.1371/Journal.Pcbi.1003636  0.517
2012 Chen KY, Zhou F, Fryszczyn BG, Barth P. Naturally evolved G protein-coupled receptors adopt metastable conformations. Proceedings of the National Academy of Sciences of the United States of America. 109: 13284-9. PMID 22847407 DOI: 10.1073/Pnas.1205512109  0.333
2009 Zhu J, Luo BH, Barth P, Schonbrun J, Baker D, Springer TA. The structure of a receptor with two associating transmembrane domains on the cell surface: integrin alphaIIbbeta3. Molecular Cell. 34: 234-49. PMID 19394300 DOI: 10.1016/J.Molcel.2009.02.022  0.383
2009 Barth P, Wallner B, Baker D. Prediction of membrane protein structures with complex topologies using limited constraints. Proceedings of the National Academy of Sciences of the United States of America. 106: 1409-14. PMID 19190187 DOI: 10.1073/Pnas.0808323106  0.6
2008 Barth P, Schoeffler A, Alber T. Targeting metastable coiled-coil domains by computational design. Journal of the American Chemical Society. 130: 12038-44. PMID 18698842 DOI: 10.1021/Ja802447E  0.422
2007 Barth P, Schonbrun J, Baker D. Toward high-resolution prediction and design of transmembrane helical protein structures. Proceedings of the National Academy of Sciences of the United States of America. 104: 15682-7. PMID 17905872 DOI: 10.1073/Pnas.0702515104  0.491
2007 Barth P. Modulating membrane protein stability and association by design. Current Opinion in Structural Biology. 17: 460-6. PMID 17870471 DOI: 10.1016/J.Sbi.2007.08.006  0.369
2007 Barth P, Alber T, Harbury PB. Accurate, conformation-dependent predictions of solvent effects on protein ionization constants. Proceedings of the National Academy of Sciences of the United States of America. 104: 4898-903. PMID 17360348 DOI: 10.1073/Pnas.0700188104  0.322
2004 Howard EI, Sanishvili R, Cachau RE, Mitschler A, Chevrier B, Barth P, Lamour V, Van Zandt M, Sibley E, Bon C, Moras D, Schneider TR, Joachimiak A, Podjarny A. Ultrahigh resolution drug design I: details of interactions in human aldose reductase-inhibitor complex at 0.66 A. Proteins. 55: 792-804. PMID 15146478 DOI: 10.1002/Prot.20015  0.334
1999 Rogniaux H, Van Dorsselaer A, Barth P, Biellmann JF, Barbanton J, van Zandt M, Chevrier B, Howard E, Mitschler A, Potier N, Urzhumtseva L, Moras D, Podjarny A. Binding of aldose reductase inhibitors: Correlation of crystallographic and mass spectrometric studies Journal of the American Society For Mass Spectrometry. 10: 635-647. PMID 10384727 DOI: 10.1016/S1044-0305(99)00030-6  0.306
Show low-probability matches.