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Cited by in F6Publishing
For: Grünewald F, Alessandri R, Kroon PC, Monticelli L, Souza PCT, Marrink SJ. Polyply; a python suite for facilitating simulations of macromolecules and nanomaterials. Nat Commun 2022;13:68. [PMID: 35013176 DOI: 10.1038/s41467-021-27627-4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Hilpert C, Beranger L, Souza PCT, Vainikka PA, Nieto V, Marrink SJ, Monticelli L, Launay G. Facilitating CG Simulations with MAD: The MArtini Database Server. J Chem Inf Model 2023. [PMID: 36656159 DOI: 10.1021/acs.jcim.2c01375] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Stevens JA, Grünewald F, van Tilburg PAM, König M, Gilbert BR, Brier TA, Thornburg ZR, Luthey-schulten Z, Marrink SJ. Molecular dynamics simulation of an entire cell. Front Chem 2023;11. [DOI: 10.3389/fchem.2023.1106495] [Reference Citation Analysis]
3 Grünewald F, Punt MH, Jefferys EE, Vainikka PA, König M, Virtanen V, Meyer TA, Pezeshkian W, Gormley AJ, Karonen M, Sansom MSP, Souza PCT, Marrink SJ. Martini 3 Coarse-Grained Force Field for Carbohydrates. J Chem Theory Comput 2022;18:7555-69. [PMID: 36342474 DOI: 10.1021/acs.jctc.2c00757] [Reference Citation Analysis]
4 Winkeljann B, Keul DC, Merkel OM. Engineering poly- and micelleplexes for nucleic acid delivery - A reflection on their endosomal escape. J Control Release 2022;353:518-34. [PMID: 36496051 DOI: 10.1016/j.jconrel.2022.12.008] [Reference Citation Analysis]
5 Meyer TA, Ramirez C, Tamasi MJ, Gormley AJ. A User’s Guide to Machine Learning for Polymeric Biomaterials. ACS Polym Au 2022. [DOI: 10.1021/acspolymersau.2c00037] [Reference Citation Analysis]
6 Hilpert C, Beranger L, Souza PC, Vainikka PA, Nieto V, Marrink SJ, Monticelli L, Launay G. Facilitating CG simulations with MAD: the MArtini Database Server.. [DOI: 10.1101/2022.08.03.502585] [Reference Citation Analysis]
7 Caddeo C, Ackermann J, Mattoni A. A Theoretical Perspective on the Thermodynamic Stability of Polymer Blends for Solar Cells: From Experiments to Predictive Modeling. Solar RRL. [DOI: 10.1002/solr.202200172] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
8 Lau CYJ, Benne N, Lou B, Zharkova O, Ting HJ, Ter Braake D, van Kronenburg N, Fens MH, Broere F, Hennink WE, Wang JW, Mastrobattista E. Modulating albumin-mediated transport of peptide-drug conjugates for antigen-specific Treg induction. J Control Release 2022;348:938-50. [PMID: 35732251 DOI: 10.1016/j.jconrel.2022.06.025] [Reference Citation Analysis]
9 Marrink SJ, Monticelli L, Melo MN, Alessandri R, Tieleman DP, Souza PCT. Two decades of Martini: Better beads, broader scope. WIREs Comput Mol Sci. [DOI: 10.1002/wcms.1620] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Brosz M, Michelarakis N, Bunz UHF, Aponte-Santamaría C, Gräter F. Martini 3 coarse-grained force field for poly(para-phenylene ethynylene)s. Phys Chem Chem Phys 2022;24:9998-10010. [PMID: 35412534 DOI: 10.1039/d1cp04237h] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Merkel OM. Can pulmonary RNA delivery improve our pandemic preparedness? Journal of Controlled Release 2022;345:549-56. [DOI: 10.1016/j.jconrel.2022.03.039] [Cited by in F6Publishing: 1] [Reference Citation Analysis]