Afzal MAF - Search Results

1

A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules.

Afzal MAF, Sonpal A, Haghighatlari M, Schultz AJ, Hachmann J. Afzal MAF, et al. Chem Sci. 2019 Jul 9;10(36):8374-8383. doi: 10.1039/c9sc02677k. eCollection 2019 Sep 28. Chem Sci. 2019. PMID: 31762970 Free PMC article.

2

Combining first-principles and data modeling for the accurate prediction of the refractive index of organic polymers.

Afzal MAF, Cheng C, Hachmann J. Afzal MAF, et al. J Chem Phys. 2018 Jun 28;148(24):241712. doi: 10.1063/1.5007873. J Chem Phys. 2018. PMID: 29960320

3

Benchmarking DFT approaches for the calculation of polarizability inputs for refractive index predictions in organic polymers.

Afzal MAF , Hachmann J . Afzal MAF , et al. Phys Chem Chem Phys. 2019 Feb 20;21(8):4452-4460. doi: 10.1039/c8cp05492d. Phys Chem Chem Phys. 2019. PMID: 30734777

4

Effect of filtrate flux and process disruptions on virus retention by a relatively homogeneous virus removal membrane.

Afzal MA, Zydney AL. Afzal MA, et al. Biotechnol Prog. 2022 Jul;38(4):e3255. doi: 10.1002/btpr.3255. Epub 2022 Apr 9. Biotechnol Prog. 2022. PMID: 35383397

5

Impact of proteins and protein fouling on virus retention during virus removal filtration.

Afzal MA, Zydney AL. Afzal MA, et al. Biotechnol Bioeng. 2024 Feb;121(2):710-718. doi: 10.1002/bit.28607. Epub 2023 Nov 23. Biotechnol Bioeng. 2024. PMID: 37994529

6

Comparative Analysis of the Impact of Protein on Virus Retention for Different Virus Removal Filters.

Afzal MA, Peles J, Zydney AL. Afzal MA, et al. Membranes (Basel). 2024 Jul 17;14(7):158. doi: 10.3390/membranes14070158. Membranes (Basel). 2024. PMID: 39057666 Free PMC article.

7

A simple, rapid, and robust "on-the-go" identity testing of biotherapeutics using FTIR spectroscopy.

Afzal MA, Bhojane PP, Rathore AS. Afzal MA, et al. Electrophoresis. 2021 Aug;42(16):1655-1664. doi: 10.1002/elps.202100045. Epub 2021 Jun 3. Electrophoresis. 2021. PMID: 34021613

8

Predicting the Release Mechanism of Amorphous Solid Dispersions: A Combination of Thermodynamic Modeling and In Silico Molecular Simulation.

Walter S, Mileo PGM, Afzal MAF, Kyeremateng SO, Degenhardt M, Browning AR, Shelley JC. Walter S, et al. Among authors: afzal maf. Pharmaceutics. 2024 Oct 2;16(10):1292. doi: 10.3390/pharmaceutics16101292. Pharmaceutics. 2024. PMID: 39458621 Free PMC article.

9

Advancing material property prediction: using physics-informed machine learning models for viscosity.

Chew AK, Sender M, Kaplan Z, Chandrasekaran A, Chief Elk J, Browning AR, Kwak HS, Halls MD, Afzal MAF. Chew AK, et al. Among authors: afzal maf. J Cheminform. 2024 Mar 14;16(1):31. doi: 10.1186/s13321-024-00820-5. J Cheminform. 2024. PMID: 38486289 Free PMC article.

10

Development of scalable and generalizable machine learned force field for polymers.

Mohanty S, Stevenson J, Browning AR, Jacobson L, Leswing K, Halls MD, Afzal MAF. Mohanty S, et al. Among authors: afzal maf. Sci Rep. 2023 Oct 11;13(1):17251. doi: 10.1038/s41598-023-43804-5. Sci Rep. 2023. PMID: 37821501 Free PMC article.

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