Rafal Adamczak, PhD

Affiliations: 
of Informatics Nicolaus Copernicus University 
Area:
neural networks, machine learning, data mining, bioinformatics
Website:
http://www.fizyka.umk.pl/~raad/
Google:
"Rafal Adamczak"
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Publications

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Thorman AW, Reigle J, Chutipongtanate S, et al. (2024) Accelerating drug discovery and repurposing by combining transcriptional signature connectivity with docking. Science Advances. 10: eadj3010
Bischoff ME, Shamsaei B, Yang J, et al. (2024) Copper drives remodeling of metabolic state and progression of clear cell renal cell carcinoma. Biorxiv : the Preprint Server For Biology
Thorman AW, Reigle J, Chutipongtanate S, et al. (2020) Connectivity Enhanced Structure Activity Relationship (ceSAR): A Novel Approach to Increase Accuracy and Speed of Virtual Drug Discovery The Faseb Journal. 34: 1-1
Adamczak R, Meller J. (2016) UQlust: combining profile hashing with linear-time ranking for efficient clustering and analysis of big macromolecular data. Bmc Bioinformatics. 17: 546
Phatak M, Adamczak R, Cao B, et al. (2011) Solvent and lipid accessibility prediction as a basis for model quality assessment in soluble and membrane proteins. Current Protein & Peptide Science. 12: 563-73
Adamczak R, Pillardy J, Vallat BK, et al. (2011) Fast geometric consensus approach for protein model quality assessment. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 18: 1807-18
Swaminathan K, Adamczak R, Porollo A, et al. (2010) Enhanced prediction of conformational flexibility and phosphorylation in proteins. Advances in Experimental Medicine and Biology. 680: 307-19
Cushion MT, Smulian AG, Slaven BE, et al. (2007) Transcriptome of Pneumocystis carinii during fulminate infection: carbohydrate metabolism and the concept of a compatible parasite. Plos One. 2: e423
Cao B, Porollo A, Adamczak R, et al. (2006) Enhanced recognition of protein transmembrane domains with prediction-based structural profiles. Bioinformatics (Oxford, England). 22: 303-9
Wagner M, Adamczak R, Porollo A, et al. (2005) Linear regression models for solvent accessibility prediction in proteins. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 12: 355-69
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