Laughton C - Search Results

1

Nanoformulation-by-design: an experimental and molecular dynamics study for polymer coated drug nanoparticles.

Styliari ID, Taresco V, Theophilus A, Alexander C, Garnett M, Laughton C. Styliari ID, et al. Among authors: laughton c. RSC Adv. 2020 May 21;10(33):19521-19533. doi: 10.1039/d0ra00408a. eCollection 2020 May 20. RSC Adv. 2020. PMID: 35515456 Free PMC article.

2

Multiscale modeling of drug-polymer nanoparticle assembly identifies parameters influencing drug encapsulation efficiency.

Mackenzie R, Booth J, Alexander C, Garnett MC, Laughton CA. Mackenzie R, et al. Among authors: laughton ca. J Chem Theory Comput. 2015 Jun 9;11(6):2705-13. doi: 10.1021/ct501152a. Epub 2015 May 27. J Chem Theory Comput. 2015. PMID: 26575566

3

Rapid Nanogram Scale Screening Method of Microarrays to Evaluate Drug-Polymer Blends Using High-Throughput Printing Technology.

Taresco V, Louzao I, Scurr D, Booth J, Treacher K, McCabe J, Turpin E, Laughton CA, Alexander C, Burley JC, Garnett MC. Taresco V, et al. Among authors: laughton ca. Mol Pharm. 2017 Jun 5;14(6):2079-2087. doi: 10.1021/acs.molpharmaceut.7b00182. Epub 2017 May 19. Mol Pharm. 2017. PMID: 28502181

4

In Silico Screening for Solid Dispersions: The Trouble with Solubility Parameters and χFH.

Turpin ER, Taresco V, Al-Hachami WA, Booth J, Treacher K, Tomasi S, Alexander C, Burley J, Laughton CA, Garnett MC. Turpin ER, et al. Among authors: laughton ca. Mol Pharm. 2018 Oct 1;15(10):4654-4667. doi: 10.1021/acs.molpharmaceut.8b00637. Epub 2018 Sep 4. Mol Pharm. 2018. PMID: 30142269

5

CoCo-MD: A Simple and Effective Method for the Enhanced Sampling of Conformational Space.

Shkurti A, Styliari ID, Balasubramanian V, Bethune I, Pedebos C, Jha S, Laughton CA. Shkurti A, et al. Among authors: laughton ca. J Chem Theory Comput. 2019 Apr 9;15(4):2587-2596. doi: 10.1021/acs.jctc.8b00657. Epub 2019 Mar 5. J Chem Theory Comput. 2019. PMID: 30620585

6

Poly(triazolyl methacrylate) glycopolymers as potential targeted unimolecular nanocarriers.

Madeira do O J, Foralosso R, Yilmaz G, Mastrotto F, King PJS, Xerri RM, He Y, van der Walle CF, Fernandez-Trillo F, Laughton CA, Styliari I, Stolnik S, Mantovani G. Madeira do O J, et al. Among authors: laughton ca. Nanoscale. 2019 Nov 28;11(44):21155-21166. doi: 10.1039/c9nr05836b. Epub 2019 Oct 30. Nanoscale. 2019. PMID: 31663091

7

Cooperativity in drug-DNA recognition: a molecular dynamics study.

Harris SA, Gavathiotis E, Searle MS, Orozco M, Laughton CA. Harris SA, et al. Among authors: laughton ca. J Am Chem Soc. 2001 Dec 19;123(50):12658-63. doi: 10.1021/ja016233n. J Am Chem Soc. 2001. PMID: 11741431

8

Large-scale molecular dynamics simulation of DNA: implementation and validation of the AMBER98 force field in LAMMPS.

Grindon C, Harris S, Evans T, Novik K, Coveney P, Laughton C. Grindon C, et al. Among authors: laughton c. Philos Trans A Math Phys Eng Sci. 2004 Jul 15;362(1820):1373-86. doi: 10.1098/rsta.2004.1381. Philos Trans A Math Phys Eng Sci. 2004. PMID: 15306456

9

Molecular modelling methods for prediction of sequence-selectivity in DNA recognition.

Wang H, Laughton CA. Wang H, et al. Methods. 2007 Jun;42(2):196-203. doi: 10.1016/j.ymeth.2006.09.002. Methods. 2007. PMID: 17472901 Review.

10

Active site pressurization: a new tool for structure-guided drug design and other studies of protein flexibility.

Withers IM, Mazanetz MP, Wang H, Fischer PM, Laughton CA. Withers IM, et al. J Chem Inf Model. 2008 Jul;48(7):1448-54. doi: 10.1021/ci7004725. Epub 2008 Jun 14. J Chem Inf Model. 2008. PMID: 18553961

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