Martiniani S - Search Results

1

Predicting and Interpreting Protein Developability Via Transfer of Convolutional Sequence Representation.

Golinski AW, Schmitz ZD, Nielsen GH, Johnson B, Saha D, Appiah S, Hackel BJ, Martiniani S. Golinski AW, et al. Among authors: martiniani s. ACS Synth Biol. 2023 Sep 15;12(9):2600-2615. doi: 10.1021/acssynbio.3c00196. Epub 2023 Aug 29. ACS Synth Biol. 2023. PMID: 37642646 Free PMC article.

2

High-throughput developability assays enable library-scale identification of producible protein scaffold variants.

Golinski AW, Mischler KM, Laxminarayan S, Neurock NL, Fossing M, Pichman H, Martiniani S, Hackel BJ. Golinski AW, et al. Among authors: martiniani s. Proc Natl Acad Sci U S A. 2021 Jun 8;118(23):e2026658118. doi: 10.1073/pnas.2026658118. Proc Natl Acad Sci U S A. 2021. PMID: 34078670 Free PMC article.

3

ColabFit exchange: Open-access datasets for data-driven interatomic potentials.

Vita JA, Fuemmeler EG, Gupta A, Wolfe GP, Tao AQ, Elliott RS, Martiniani S, Tadmor EB. Vita JA, et al. Among authors: martiniani s. J Chem Phys. 2023 Oct 21;159(15):154802. doi: 10.1063/5.0163882. J Chem Phys. 2023. PMID: 37861121

4

Model-Free Measurement of Local Entropy Production and Extractable Work in Active Matter.

Ro S, Guo B, Shih A, Phan TV, Austin RH, Levine D, Chaikin PM, Martiniani S. Ro S, et al. Among authors: martiniani s. Phys Rev Lett. 2022 Nov 23;129(22):220601. doi: 10.1103/PhysRevLett.129.220601. Phys Rev Lett. 2022. PMID: 36493452

5

Correlation Lengths in the Language of Computable Information.

Martiniani S, Lemberg Y, Chaikin PM, Levine D. Martiniani S, et al. Phys Rev Lett. 2020 Oct 23;125(17):170601. doi: 10.1103/PhysRevLett.125.170601. Phys Rev Lett. 2020. PMID: 33156672

6

Vicsek model by time-interlaced compression: A dynamical computable information density.

Cavagna A, Chaikin PM, Levine D, Martiniani S, Puglisi A, Viale M. Cavagna A, et al. Among authors: martiniani s. Phys Rev E. 2021 Jun;103(6-1):062141. doi: 10.1103/PhysRevE.103.062141. Phys Rev E. 2021. PMID: 34271646

7

Energy landscapes for machine learning.

Ballard AJ, Das R, Martiniani S, Mehta D, Sagun L, Stevenson JD, Wales DJ. Ballard AJ, et al. Among authors: martiniani s. Phys Chem Chem Phys. 2017 May 24;19(20):12585-12603. doi: 10.1039/c7cp01108c. Phys Chem Chem Phys. 2017. PMID: 28367548

8

Estimating random close packing in polydisperse and bidisperse hard spheres via an equilibrium model of crowding.

Anzivino C, Casiulis M, Zhang T, Moussa AS, Martiniani S, Zaccone A. Anzivino C, et al. Among authors: martiniani s. J Chem Phys. 2023 Jan 28;158(4):044901. doi: 10.1063/5.0137111. J Chem Phys. 2023. PMID: 36725501 Free article.

9

Transport and energetics of bacterial rectification.

Anand S, Ma X, Guo S, Martiniani S, Cheng X. Anand S, et al. Among authors: martiniani s. Proc Natl Acad Sci U S A. 2024 Dec 24;121(52):e2411608121. doi: 10.1073/pnas.2411608121. Epub 2024 Dec 20. Proc Natl Acad Sci U S A. 2024. PMID: 39705309

10

Fast generation of spectrally shaped disorder.

Shih A, Casiulis M, Martiniani S. Shih A, et al. Among authors: martiniani s. Phys Rev E. 2024 Sep;110(3-1):034122. doi: 10.1103/PhysRevE.110.034122. Phys Rev E. 2024. PMID: 39425405

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