E.Mohanan, G.Shen, S.Ren, HH.Fan, KT.Ying Moua, A.Karolak, RC.Rockne, R.Nakamur, DA.Horne, CG.Kanakry, DE.Mager, J.McCune. Challenges with sirolimus experimental data to inform QSP model of post-transplantation cyclophosphamide regimens. Clin. Transl. Sci. DOI: 10.1111/cts.70014 (2024)
M.Gubanov, A.Pyayt, A.Karolak. CancerKG.ORG - a Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care. To appear in ACM CIKM (2024)
A.Mukund, MA.Afridi, A.Karolak, MA.Park, JB.Permuth, G.Rasool. Pancreatic Ductal Adenocarcinoma (PDAC): A Review of Recent Advancements Enabled by Artificial Intelligence. Cancers (2024)
A.Karolak, K.Urbaniak, A.Monastryrskyi, D.Duckett, S.Branciamore, P. Stewart. Structure-independent machine learning predictions of the CDK12 interactome. Biophysical Journal (2024)
A.Sikora, K.Sullivan, S.Dineen, M.Raoof and A.Karolak. Emerging therapeutic approaches for peritoneal metastases from gastrointestinal cancers. Molecular Therapy Oncolytics Volume 32, Issue 1 (2024)
M.Stitou, J.Koomen, D.Imbody, Y.Liao, A.Monastryskyi, U.Rix, D.Duckett, E.Haura, A.Karolak. Opinion: Does AI need companionship to assist drug discovery? The KRAS study. BJR AI, Volume 1, Issue 1 (2024)
N.Nguyen, JK.Teer, MA.Park, P.McDonald, JB.Fleming, JB.Permuth, KC.Chen, A.Karolak. Reinforcing risk prediction for intraductal papillary mucinous neoplasms of the pancreas with AI-optimized nucleotide-to-amino acid analyses. Cancer Res. 84 (2 Suppl.) B109 (2024)
A.Karolak, V.Schoning, A.Khurana. Editorial: Spotlight on AI in Experimental Pharmacology and Drug Discovery. Front. Pharmacology. 14 (2023) PMID: 37711179
D. Rollison, A.Karolak, Y.Luo, L.Folio, T.Dilling, M.Bui, A.Tarhini, I.ElNaqa. Translation of AI into clinical practice. Oncogene (2023)
T.Shaw, B.Zhao, Y.Li, H.Wang, L.Wang, B.Manley, PA.Stewart, A.Karolak, Multi-omics approach to identifying isoform variants as therapeutic targets in cancer patients, Front. Oncol. 12 (2022). PMID: 36505834
A.Matache, A.Karolak, S.Branciamore, A.Rodin, PP.Lee, RC.Rockne, A communication theory framework for modeling cytokine-mediated signaling in healthy and breast cancer derived peripheral blood immune cells, Cancer Res. 82 (12 Supplement), 2741 (2022)
JS.McCune, R.Nakamura, D.O'Meally, TW.Randolph, BM.Sandmaier, A.Karolak, D.Hockenbery, SL.Navarro. Pharmacometabonomic Association of Cyclophosphamide 4-hydroxylation in Hematopoietic Cell Transplant Recipients. Clin Transl Sci. PMID: 35106927 (2022)
A.Karolak, J. Levatic, F. Supek. A framework for mutational signature analysis based on DNA shape parameters. PLoS ONE 17(1): e0262495 (2022)
A.Karolak, S. Branciamore, JS. McCune, PP. Lee, AS. Rodin, RC. Rockne. Concepts and applications of information theory to immuno-oncology Trends in Cancer, Special Issue: Quantitative Cancer Biology 7(4) (2021)
A.Karolak, S.Poonja, DA.Markov, LJ.McCawley, KA.Rejniak Morphophenotypic classification of tumor organoids as an indicator of drug exposure and penetration potential Plos.Comp.Biol. 15(7): e1007214 (2019)
A.Khabibullin, A.Karolak, M.Budzevich, M.Mclaughlin, D.Morse, L.Woods Structure and properties of DOTA-chelated radiopharmaceuticals within the 225Ac decay pathway, Med.Chem.Comm.,6;9(7), p155 (2018)
A.Karolak, DA.Markov, LJ.McCawley, KA.Rejniak, Toward personalized computational oncology: from spatial models of tumor spheroids to organoids to tissues, J.R.Soc Interface, 15:20170703 (2018)
A.Karolak, KA.Rejniak Micropharmacology: an in silico approach for assessing drug efficacy within a tumor tissue, Bull. Math. Biol. p1 (2018)
A.Karolak, V.Estrella, T.Chen, AS.Huynh, DL.Morse, KA.Rejniak Targeting imaging agents efficacy linked to tumor tissue topological heterogeneity via single-cell micro-pharmacological modelling, Scientific Reports, 8 (1), p3638 (2018)
S.Mukherjee, A.Karolak, Y.Renaudineau, M.Debant, P.Buscaglia, O.Mignen, WC.Guida, WH.Brooks Molecular dynamics simulations of membrane bound STIM1 to investigate conformational changes during STIM1 activation upon calcium release, J. Chem. Inf. Model. 57 (2), p335 (2017)
TA.Word, A.Karolak, C.Cioce, A.van der Vaart, RW.Larsen, Using photoacoustic calorimetry to study the cis to trans photo isomerization of the [Ru(II)(2,2’-bipyridine)2(H2O)2]2+ complex in aqueous solution, Comment. Inorg. Chem. 36, p343 (2016)
A.Karolak, A.van der Vaart Molecular dynamics simulations of 5-hydroxycytosine damaged DNA J. Phys. Chem. B, 120, p42 (2016)
A.Karolak, A.van der Vaart BII stability and base step flexibility of N6-adenine methylated GATC motifs Biophys. Chem. 203, p22 (2015)
TA.Word, CL.Whittington, A.Karolak, MT.Kemp, HL.Woodcock, A.van der Vaart, RW. Larsen Photoacoustic calorimetry study of ligand photorelease from the Ru(II)bis(2,2'-bipyridine)(6,6'-dimethyl-2,2'-bipyridine) complex in aqueous solution Chem. Phys. Lett. 619, p214 (2015)
A.Karolak, A.van der Vaart Enhanced sampling simulations of DNA step parameters J. Comp. Chem. 35, 2297-2304 (2014)
A.Karolak, A.van der Vaart Importance of local interactions for the ETS1 stability of inhibitory helix 1 Biophys. Chem. 165, p74 (2012)
H.Maciejewski, B.Marciniec, J.Gulinski, A.Karolak, NK.Skvortsov From isothiocyanato- to silyl-nickel complexes Inorg. Chem. Comm. 5, p464 (2002)
MA.Park, K.Gumpper-Fedus, SG.Krishna, MC.Genilo-Delgado, S.Brantley, PA.Hart, ME.Dillhoff, MF.Gomez, TL.Basinski, SR.Mok, AK.Luthra, JB.Fleming, A.Mohammadi, BA.Centeno, K.Jiang, A.Karolak, D.Jeong, DT.Chen, P.Stewart, JK.Teer, Z.Cruz-Monserrate, JB.Permuth. Molecular Pathway and Immune Profile Analysis of IPMN-Derived versus PanIN-Derived Pancreatic Ductal Adenocarcinomas. Preprintshttps://doi.org/10.20944/preprints202409.2045.v1 (2024)
T.Nguyen, A.Karolak. Transformer Graph Variational Autoencoder for Generative Molecular Design, bioRxiv https://doi.org/10.1101/2024.07.22.604603 (2024)
N.Nguyen, MA.Park, JK.Teer, P.McDonald, JB.Fleming, JB.Permuth, KC.Chen, A.Karolak. Text-based Integration of Mutational Profiles for Risk Predictions and Biomarker Identification of Intraductal Papillary Mucinous Neoplasms of the Pancreas, medRxiv (2023)
A.Karolak, J. Levatic, F. Supek A framework for mutational signature analysis based on DNA shape parameters, BioRXiv doi: https://doi.org/10.1101/2020.09.28.316794 (2020)
M.Damaghi, S.Byrne, L.Xu, N.Tafreshi, B.Fang, JM. Koomen, A.Karolak, T.Chen, J.Johnson, ND. Gallant, A.Marusyk, RJ.Gillies Collagen production and niche engineering: a novel strategy for cancer cells to survive acidosis and evolve. BioRXiv 711978; doi: https://doi.org/10.1101/711978 (2019)
S.Nizzero, JC. Alfonso, A.Alvarez-Arenas, I.Mirzaev, I. Zervantonakis, T.Lewin, A.Rishi, E.Piretto, T. Joshi, DN. Santiago, A.Karolak, R.Howard, H.Enderling, FA.Karreth, J.Torres-Roca Overcoming non-small cell lung cancer radiation resistance by modulating the tumor-immune ecosystem BioRXiv https://doi.org/10.1101/458372 (2018)
A.Karolak, B.Huffstutler, Z.Khan, KA.Rejniak Assessment of patient-specific efficacy of chemo- and targeted-therapies: a micro pharmacology approach NIH/NCI Handbook of Mathematical Methods in Cancer Biology, BioRxiv, doi.org/10.1101/236653 (2017)
R.Walker, PE.Navas, SH.Friedman, S.Galliani, A.Karolak, F.Macfarlane, R.Noble, J.Poleszczuk, S.Russell, KA.Rejniak, A.Shahmoradi, F.Ziebell, J.Brayer, D.Abate-Daga, H.Enderling Enhancing synergy of CAR T cell therapy and oncolytic virus therapy for pancreatic cancer BioRXiv doi: 10.1101/055988 (2016)
A.Karolak, S.Agrawal, S.Lee, KA.Rejniak Dissecting tumor heterogeneity with single-cell-based in silico models, Chapter in “Encyclopedia of Biomedical Engineering: Single Cell Mathematical Models”, Wiley (2019)
A.Karolak, KA.Rejniak Mathematical modeling of tumor organoids: toward personalized medicine, Chapter in “Tumor Organoids: Cancer Drug Delivery and Development”, Springer (2017)
J.Pérez-Velázquez, JL.Gevertz, A.Karolak, KA.Rejniak Microenvironmental niches and sanctuaries: A route to acquired resistance, Chapter in “Advances in Experimental Medicine and Biology”, Springer (2016)