Sormanni P - Search Results

1

Automated optimization of the solubility of a hyper-stable α-amylase.

Ali M, Greenig M, Oeller M, Atkinson M, Xu X, Sormanni P. Ali M, et al. Among authors: sormanni p. Open Biol. 2024 May;14(5):240014. doi: 10.1098/rsob.240014. Epub 2024 May 15. Open Biol. 2024. PMID: 38745462 Free article.

2

Discovery of potent inhibitors of α-synuclein aggregation using structure-based iterative learning.

Horne RI, Andrzejewska EA, Alam P, Brotzakis ZF, Srivastava A, Aubert A, Nowinska M, Gregory RC, Staats R, Possenti A, Chia S, Sormanni P, Ghetti B, Caughey B, Knowles TPJ, Vendruscolo M. Horne RI, et al. Among authors: sormanni p. Nat Chem Biol. 2024 May;20(5):634-645. doi: 10.1038/s41589-024-01580-x. Epub 2024 Apr 17. Nat Chem Biol. 2024. PMID: 38632492 Free PMC article.

3

Sequence-based prediction of the intrinsic solubility of peptides containing non-natural amino acids.

Oeller M, Kang RJD, Bolt HL, Gomes Dos Santos AL, Weinmann AL, Nikitidis A, Zlatoidsky P, Su W, Czechtizky W, De Maria L, Sormanni P, Vendruscolo M. Oeller M, et al. Among authors: sormanni p. Nat Commun. 2023 Nov 17;14(1):7475. doi: 10.1038/s41467-023-42940-w. Nat Commun. 2023. PMID: 37978172 Free PMC article.

4

Understanding and controlling the molecular mechanisms of protein aggregation in mAb therapeutics.

Pang KT, Yang YS, Zhang W, Ho YS, Sormanni P, Michaels TCT, Walsh I, Chia S. Pang KT, et al. Among authors: sormanni p. Biotechnol Adv. 2023 Oct;67:108192. doi: 10.1016/j.biotechadv.2023.108192. Epub 2023 Jun 7. Biotechnol Adv. 2023. PMID: 37290583 Free article. Review.

5

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.

Del Conte A, Bouhraoua A, Mehdiabadi M, Clementel D, Monzon AM; CAID predictors; Tosatto SCE, Piovesan D. Del Conte A, et al. Nucleic Acids Res. 2023 Jul 5;51(W1):W62-W69. doi: 10.1093/nar/gkad430. Nucleic Acids Res. 2023. PMID: 37246642 Free PMC article.

6

Automated optimisation of solubility and conformational stability of antibodies and proteins.

Rosace A, Bennett A, Oeller M, Mortensen MM, Sakhnini L, Lorenzen N, Poulsen C, Sormanni P. Rosace A, et al. Among authors: sormanni p. Nat Commun. 2023 Apr 6;14(1):1937. doi: 10.1038/s41467-023-37668-6. Nat Commun. 2023. PMID: 37024501 Free PMC article.

7

Multidimensional Protein Solubility Optimization with an Ultrahigh-Throughput Microfluidic Platform.

Erkamp NA, Oeller M, Sneideris T, Ausserwoger H, Levin A, Welsh TJ, Qi R, Qian D, Lorenzen N, Zhu H, Sormanni P, Vendruscolo M, Knowles TPJ. Erkamp NA, et al. Among authors: sormanni p. Anal Chem. 2023 Mar 28;95(12):5362-5368. doi: 10.1021/acs.analchem.2c05495. Epub 2023 Mar 17. Anal Chem. 2023. PMID: 36930285 Free PMC article.

8

Sequence-based prediction of pH-dependent protein solubility using CamSol.

Oeller M, Kang R, Bell R, Ausserwöger H, Sormanni P, Vendruscolo M. Oeller M, et al. Among authors: sormanni p. Brief Bioinform. 2023 Mar 19;24(2):bbad004. doi: 10.1093/bib/bbad004. Brief Bioinform. 2023. PMID: 36719110 Free PMC article.

9

Approaches to expand the conventional toolbox for discovery and selection of antibodies with drug-like physicochemical properties.

Svilenov HL, Arosio P, Menzen T, Tessier P, Sormanni P. Svilenov HL, et al. Among authors: sormanni p. MAbs. 2023 Jan-Dec;15(1):2164459. doi: 10.1080/19420862.2022.2164459. MAbs. 2023. PMID: 36629855 Free PMC article.

10

An antibody scanning method for the detection of α-synuclein oligomers in the serum of Parkinson's disease patients.

Kulenkampff K, Emin D, Staats R, Zhang YP, Sakhnini L, Kouli A, Rimon O, Lobanova E, Williams-Gray CH, Aprile FA, Sormanni P, Klenerman D, Vendruscolo M. Kulenkampff K, et al. Among authors: sormanni p. Chem Sci. 2022 Sep 22;13(46):13815-13828. doi: 10.1039/d2sc00066k. eCollection 2022 Nov 30. Chem Sci. 2022. PMID: 36544716 Free PMC article.

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