Schürer SC - Search Results

1

Kinome-wide activity modeling from diverse public high-quality data sets.

Schürer SC, Muskal SM. Schürer SC, et al. J Chem Inf Model. 2013 Jan 28;53(1):27-38. doi: 10.1021/ci300403k. Epub 2013 Jan 9. J Chem Inf Model. 2013. PMID: 23259810 Free PMC article.

2

Reversal of Lactate and PD-1-mediated Macrophage Immunosuppression Controls Growth of PTEN/p53-deficient Prostate Cancer.

Chaudagar K, Hieromnimon HM, Khurana R, Labadie B, Hirz T, Mei S, Hasan R, Shafran J, Kelley A, Apostolov E, Al-Eryani G, Harvey K, Rameshbabu S, Loyd M, Bynoe K, Drovetsky C, Solanki A, Markiewicz E, Zamora M, Fan X, Schürer S, Swarbrick A, Sykes DB, Patnaik A. Chaudagar K, et al. Clin Cancer Res. 2023 May 15;29(10):1952-1968. doi: 10.1158/1078-0432.CCR-22-3350. Clin Cancer Res. 2023. PMID: 36862086 Free PMC article.

3

Prospective exploration of synthetically feasible, medicinally relevant chemical space.

Schürer SC, Tyagi P, Muskal SM. Schürer SC, et al. J Chem Inf Model. 2005 Mar-Apr;45(2):239-48. doi: 10.1021/ci0496853. J Chem Inf Model. 2005. PMID: 15807484

4

BioAssay ontology annotations facilitate cross-analysis of diverse high-throughput screening data sets.

Schürer SC, Vempati U, Smith R, Southern M, Lemmon V. Schürer SC, et al. J Biomol Screen. 2011 Apr;16(4):415-26. doi: 10.1177/1087057111400191. J Biomol Screen. 2011. PMID: 21471461 Free PMC article.

5

Novel kinase inhibitors by reshuffling ligand functionalities across the human kinome.

Vidović D, Muskal SM, Schürer SC. Vidović D, et al. Among authors: schurer sc. J Chem Inf Model. 2012 Dec 21;52(12):3107-15. doi: 10.1021/ci3003842. Epub 2012 Nov 20. J Chem Inf Model. 2012. PMID: 23121521

6

High quality, small molecule-activity datasets for kinase research.

Sharma R, Schürer SC, Muskal SM. Sharma R, et al. Among authors: schurer sc. F1000Res. 2016 Jun 14;5:Chem Inf Sci-1366. doi: 10.12688/f1000research.8950.3. eCollection 2016. F1000Res. 2016. PMID: 27429748 Free PMC article.

7

Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO).

Vempati UD, Przydzial MJ, Chung C, Abeyruwan S, Mir A, Sakurai K, Visser U, Lemmon VP, Schürer SC. Vempati UD, et al. Among authors: schurer sc. PLoS One. 2012;7(11):e49198. doi: 10.1371/journal.pone.0049198. Epub 2012 Nov 14. PLoS One. 2012. PMID: 23155465 Free PMC article.

8

Chemical interrogation of the neuronal kinome using a primary cell-based screening assay.

Al-Ali H, Schürer SC, Lemmon VP, Bixby JL. Al-Ali H, et al. Among authors: schurer sc. ACS Chem Biol. 2013 May 17;8(5):1027-36. doi: 10.1021/cb300584e. Epub 2013 Mar 19. ACS Chem Biol. 2013. PMID: 23480631 Free PMC article.

9

Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).

Vempati UD, Chung C, Mader C, Koleti A, Datar N, Vidović D, Wrobel D, Erickson S, Muhlich JL, Berriz G, Benes CH, Subramanian A, Pillai A, Shamu CE, Schürer SC. Vempati UD, et al. Among authors: schurer sc. J Biomol Screen. 2014 Jun;19(5):803-16. doi: 10.1177/1087057114522514. Epub 2014 Feb 11. J Biomol Screen. 2014. PMID: 24518066 Free PMC article.

10

Large-scale integration of small molecule-induced genome-wide transcriptional responses, Kinome-wide binding affinities and cell-growth inhibition profiles reveal global trends characterizing systems-level drug action.

Vidović D, Koleti A, Schürer SC. Vidović D, et al. Among authors: schurer sc. Front Genet. 2014 Sep 30;5:342. doi: 10.3389/fgene.2014.00342. eCollection 2014. Front Genet. 2014. PMID: 25324859 Free PMC article.

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