Raquel (Kely) Norel  Raquel (Kely) Norel photo         

contact information

Research Staff Member @ Digital Health
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash1482

links



2022

Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions
Daniel S Barron, Stephen Heisig, Carla Agurto, Raquel Norel, Brittany Quagan, Albert Powers, Michael L Birnbaum, Todd Constable, Guillermo Cecchi, John H Krystal
Computational Psychiatry 6(1), Ubiquity Press, 2022

Answer ALS, a large-scale resource for sporadic and familial ALS combining clinical and multi-omics data from induced pluripotent cell lines
Emily G Baxi, Terri Thompson, Jonathan Li, Julia A Kaye, Ryan G Lim, Jie Wu, Divya Ramamoorthy, Leandro Lima, Vineet Vaibhav, Andrea Matlock, others
Nature neuroscience 25(2), 226--237, Nature Publishing Group, 2022

Accelerating automation of digital health applications via cloud native approach
Bo Wen, Yan Koyfman, Hongfei Tian, Boris Lublinsky, Raquel Norel, Carla Agurto, Dean Wampler, Narciso Albarracin
Proceedings of the Eighth International Workshop on Container Technologies and Container Clouds, 2022
Abstract


2021

Preliminary Evaluation of Phenotypic Features from Clinical Interactions
Daniel Barron, Stephen Heisig, Carla Agurto, Raquel Norel, Brittany Quagan, Albert Powers, Justin Baker, Todd Constable, Guillermo Cecchi, John Krystal
The Journal of Pain 22(5), 594, Elsevier, 2021

Preliminary Evaluation of Phenotypic Features from Clinical Interactions
Daniel Barron, Stephen Heisig, Carla Agurto, Raquel Norel, Brittany Quagan, Albert Powers, Justin Baker, Todd Constable, Guillermo Cecchi, John Krystal
The Journal of Pain 22(5), 594, Elsevier, 2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
Sieberts, Solveig K and Schaff, Jennifer and Duda, Marlena and Pataki, B{\'a}lint {\'A}rmin and Sun, Ming and Snyder, Phil and Daneault, Jean-Francois and Parisi, Federico and Costante, Gianluca and Rubin, Udi and others
NPJ digital medicine 4(1), 1-12, 2021
Abstract

Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale
Michael Neumann, Oliver Roesler, Jackson Liscombe, Hardik Kothare, David Suendermann-Oeft, David Pautler, Indu Navar, Aria Anvar, Jochen Kumm, Raquel Norel, Ernest Fraenkel, Alexander V. Sherman, James D. Berry, Gary L. Pattee, Jun Wang, Jordan R. Green, Vikram Ramanarayanan
Interspeech 2021, ISCA
Abstract   amyotrophic lateral sclerosis, analytics, speech recognition, voice, scale, computer science, patient assessment


2020

Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook
ML. Birnbaum, R Norel, A Van Meter, AF. Ali, E Arenare, E Eyigoz, C Agurto, Ni Germano, GA. Cecchi, JM. Kane
npj Schizophrenia, 2020

Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths
Carla Agurto, Mary Pietrowicz, Raquel Norel, Elif K Eyigoz, Emma Stanislawski, Guillermo Cecchi, Cheryl Corcoran
2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), pp. 5575--5579

Speech-based characterization of dopamine replacement therapy in people with Parkinsons disease
R. Norel, C. Agurto, S. Heisig, J. J. Rice, H. Zhang, R. Ostrand, P. W. Wacnik, B. K. Ho, V. L. Ramos, G. A. Cecchi
npj Parkinsons disease 6(1), 2020
Abstract   speech tempo, parkinson s disease, rating scale, audiology, neurology, habituation, dopamine, medicine, automatic speech, motor function

Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths
Carla Agurto, Mary Pietrowicz, Raquel Norel, Elif K. Eyigoz, Emma Stanislawski, Guillermo Cecchi, Cheryl Corcoran
42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC (accepted), 2020
Abstract

Detection of Acute 3,4-Methylenedioxymethamphetamine (MDMA) Effects Across Protocols Using Automated Natural Language Processing
Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Rachel Ostrand, Matthew Kirkpatrick, Matthew J. Baggott, Margaret C. Wardle, Harriet de Wit, Gillinder Bedi
Neuropsychopharmacology (2020)
Abstract


2019

A New Approach for Automating Analysis of Responses on Verbal Fluency Tests from Subjects At-Risk for Schizophrenia
M. Pietrowicz, C. Agurto, R. Norel, E. Eyigoz, G.A. Cecchi, Z.R. Bilgrami and C.M. Corcoran
Interspeech 2019, pp. 3028-3032

Speech markers for clinical assessment of cocaine users
C. Agurto, R. Norel, M. Pietrowicz, M. Parvaz, S. Kinreich, K. Bachi, G.A. Cecchi, Ri.Z. Goldstein
ICASSP 2019
Abstract

Analyzing progression of motor and speech impairment in ALS
C. Agurto, M. Pietrowicz, E.K. Eyigoz, E. Mosmiller, E. Baxi, J.D. Rothstein, P. Roy, J. Berry, N.J. Maragakis, O. Ahmad, G.A. Cecchi, R. Norel
IEEE Engineering in Medicine and Biology Society - EMBC, 2019

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
Robert Kueffner, Neta Zach, Maya Bronfeld, Raquel Norel, Nazem Atassi, Venkat Balagurusamy, Barbara Di Camillo, Adriano Chio, Merit Cudkowicz, Donna Dillenberger, Javier Garcia-Garcia, Orla Hardiman, Bruce Hoff, Joshua Knight, Melanie L Leitner, Guang Li, Lara Mangravite, Thea Norman, Liuxia Wang, Jinfeng Xiao, Wen-Chieh Fang, Jian Peng, Chen Yang, Huan-Jui Chang, Gustavo Stolovitzky
Scientific Reports 9(1), 2019
Abstract   crowdsourcing, amyotrophic lateral sclerosis, clinical trial, disease, medline, intensive care medicine, multidisciplinary approach, medicine, clinical care, disease outcome


2018

Speech-based identification of L-DOPA ON/OFF state in Parkinsons Disease subjects
Raquel Norel, Carla Agurto, John Jeremy Rice, Bryan K Ho, Guillerma A Cecchi
bioRxiv, 2018
Abstract   rating scale, prosody, parkinson s disease, longitudinal course, feature selection, disease, biology, bioinformatics, audiology

Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis
R Norel, M Pietrowicz, C Agurto, S Rishoni, G Cecchi
Interspeech 2018
Abstract


2017

Enhancing Next Generation Sequencing Guided Cancer Care Through Cognitive Computing
Nirali M. Patela, Vanessa V. Michelini, Jeff M. Snell, Saianand Balu, Alan P. Hoyle, Joel S. Parker, Michele C. Hayward, David A. Eberhard, Ashley H. Salazar, Patrick McNeillie, Jia Xu, Claudia S. Huettner, Takahiko Koyama, Filippo Utro, Kahn Rhrissorrakrai, Raquel Norel, Erhan Bilal, Ajay Royyuru, Laxmi Parida, H. Shelton Earp, Juneko E. Grilley Olsona, D. Neil Hayes, Stephen J. Harvey, Norman E. Sharpless and William Y. Kim
The Oncologist, 2017

Phonological markers of Oxytocin and MDMA ingestion
Carla Agurto, Raquel Norel, Rachel Ostrand, Gillinder Bedi, Harriet de Wit, Matthew J. Baggott, Matthew G. Kirkpatrick, Margaret Wardle, Guillermo Cecchi
Proc. Interspeech 2017, pp. 3142--3146
Abstract

Computing the structure of language for neuropsychiatric evaluation
G. A. Cecchi, V. Gurev, S. J. Heisig, R. Norel, I. Rish and S. R. Schrecke
IBM Journal of Research and Development 61(2/3), 2017
Abstract

Comparing sequencing assays and human-machine analyses in actionable genomics for glioblastoma
K.O. Wrzeszczynski, M.O. Frank, T. Koyama, K. Rhrissorrakrai, N. Robine, F. Utro, A.-K. Emde, B.-J. Chen, K. Arora, M. Shah, and others
Neurology Genetics 3(4), e164, AAN Enterprises, 2017
Abstract

Enhancing Next-Generation Sequencing-Guided Cancer Care Through Cognitive Computing
M.M. Patel, V.V. Michelini, J.M. Snell, S. Balu, A.P. Hoyle, J.S. Parker, M.C. Hayward, D.A. Eberhard, A.H. Salazar, P. McNeillie, and others
The Oncologist, AlphaMed Press, 2017
Abstract

Predicting human olfactory perception from chemical features of odor molecules
Keller, Andreas and Gerkin, Richard C and Guan, Yuanfang and Dhurandhar, Amit and Turu, Gabor and Szalai, Bence and Mainland, Joel D and Ihara, Yusuke and Yu, Chung Wen and Wolfinger, Russ and others
Science, eaal2014, American Association for the Advancement of Science, 2017
Abstract


2016

Reverse-engineering human olfactory perception from chemical features of odor molecules
Keller, Andreas and Gerkin, Richard C and Guan, Yuanfang and Dhurandhar, Amit and Turu, Gabor and Szalai, Bence and Mainland, Joel D and Ihara, Yusuke and Yu, Chung Wen and Wolfinger, Russ and others
bioRxiv, 082495, Cold Spring Harbor Labs Journals, 2016
Abstract

Driver gene classification reveals a substantial overrepresentation of tumor suppressors among very large chromatin-regulating proteins
Waks, Zeev and Weissbrod, Omer and Carmeli, Boaz and Norel, Raquel and Utro, Filippo and Goldschmidt, Yaara
Scientific Reports6, Nature Publishing Group, 2016
Abstract

A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis
D. P. Noren, B. L. Long, R. Norel, K. Rrhissorrakrai, K. Hess, C. W. Hu, A. J. Bisberg, A. Schultz, E. Engquist, L. Liu, X. Lin, G. M. Chen, H. Xie, G. A. Hunter, P. C. Boutros, O. Stepanov, T. Norman, S. H. Friend, G. Stolovitzky, S. Kornblau, A. A. Qutu
PLoS Comput. Biol. 12(6), e1004890, 2016

A computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin
R. Patro, R. Norel, R. J. Prill, J. Saez-Rodriguez, P. Lorenz, F. Steinbeck, B. Ziems, M. Lu?trek, N. Barbarini, A. Tiengo, R. Bellazzi, H. J. Thiesen, G. Stolovitzky, C. Kingsford
BMC Bioinformatics17, 155, 2016


2015

DREAMTools: a Python package for scoring collaborative challenges
Cokelaer, Thomas and Bansal, Mukesh and Bare, Christopher and Bilal, Erhan and Bot, Brian M and Neto, Elias Chaibub and Eduati, Federica and de la Fuente, Alberto and G{"o}nen, Mehmet and Hill, Steven M and others
F1000Research4, Faculty of 1000 Ltd, 2015
Abstract

Implementation of Watson Genomic Analytics processing to improve the efficiency of interpreting whole genome sequencing data on patients with advanced cancers
T. Koyama, S. Jones, F. Utro, Y. Ma, K. Rhrissorrakrai, Y. Shen, B. Carmeli, M.Jones, Z. Waks, E. Pleasance, R. Norel, R. Moore, E. Bilal, A.J. Mungall, K. Beaty, J. Schein, V.V. Michelini, M. Marra, A. Royyuru, J.J. Laskin
Journal of Clinical Oncology33, 2015
Abstract   whole genome sequencing, transcriptome sequencing, transcriptome, rationalization, pathology, genome, data integrity, computational biology, cancer, biology, bioinformatics, analytics

DREAMTools: a Python package for scoring collaborative challenges [version 1; referees: awaiting peer review]
Cokelaer, Thomas and Bansal, Mukesh and Bare, Christopher and Bilal, Erhan and Bot, Brian M and Neto, Elias Chaibub and Eduati, Federica and G{"o}nen, Mehmet and Hill, Steven M and Hoff, Bruce and others
2015 - karrlab.org

Implementation of Watson Genomic Analytics processing to improve the efficiency of interpreting whole genome sequencing data on patients with advanced cancers.
Koyama, Takahiko and Jones, Steven and Utro, Filippo and Ma, Yussanne and Rhrissorrakrai, Kahn and Shen, Yaoqing and Carmeli, Boaz and Jones, Martin and Waks, Zeev and Pleasance, Erin and others
ASCO Annual Meeting Proceedings, pp. e12549, 2015

Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression
R. Kuffner, N. Zach, R. Norel, J. Hawe, D. Schoenfeld, L. Wang, G. Li, L. Fang, L. Mackey, O. Hardiman, M. Cudkowicz, A. Sherman, G. Ertaylan, M. Grosse-Wentrup, T. Hothorn, J. van Ligtenberg, J. H. Macke, T. Meyer, B. Scholkopf, L. Tran, R. Vaughan, G. S
Nat. Biotechnol. 33(1), 51--57, 2015

Inter-species pathway perturbation prediction via data-driven detection of functional homology
C. Hafemeister, R. Romero, E. Bilal, P. Meyer, R. Norel, K. Rhrissorrakrai, R. Bonneau, A. L. Tarca
Bioinformatics 31(4), 501--508, 2015

Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge
A. Dayarian, R. Romero, Z. Wang, M. Biehl, E. Bilal, S. Hormoz, P. Meyer, R. Norel, K. Rhrissorrakrai, G. Bhanot, F. Luo, A. L. Tarca
Bioinformatics 31(4), 462--470, 2015

Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge
M. Biehl, P. Sadowski, G. Bhanot, E. Bilal, A. Dayarian, P. Meyer, R. Norel, K. Rhrissorrakrai, M. D. Zeller, S. Hormoz
Bioinformatics 31(4), 453--461, 2015

A crowd-sourcing approach for the construction of species-specific cell signaling networks
E. Bilal, T. Sakellaropoulos, I. N. Melas, D. E. Messinis, V. Belcastro, K. Rhrissorrakrai, P. Meyer, R. Norel, A. Iskandar, E. Blaese, J. J. Rice, M. C. Peitsch, J. Hoeng, G. Stolovitzky, L. G. Alexopoulos, C. Poussin
Bioinformatics 31(4), 484--491, 2015

Understanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge
K. Rhrissorrakrai, V. Belcastro, E. Bilal, R. Norel, C. Poussin, C. Mathis, R. H. Dulize, N. V. Ivanov, L. Alexopoulos, J. J. Rice, M. C. Peitsch, G. Stolovitzky, P. Meyer, J. Hoeng
Bioinformatics 31(4), 471--483, 2015


2014

DREAM 9: An Acute Myeloid Leukemia Prediction Big Data Challenge
David Noren, Steven M. Kornblau, Chenyue W. Hu, Byron Long, Alex Bisberg, Raquel Norel, Kahn Rhrissorrakrai, Gustavo Stolovitzy, Amina A. Qutub
5th International Conference on Biomedical Ontology, ICBO 20141327, 108-109
Abstract   myeloid leukemia, leukemia, intensive care medicine, big data, medicine, dream, biomedical data, cancer drugs, outcome data, outcome prediction

The Species Translation Challenge - A Systems Biology Perspective on Human and Rat Bronchial Epithelial Cells
Carine Poussin, Carole Mathis, Leonidas G Alexopoulos, Dimitris E Messinis, Remi Dulize, Vincenzo Belcastro, Ioannis N Melas, Theodore Sakellaropoulos, Kahn Rhrissorrakrai, Erhan Bilal, Pablo Meyer, Marja Talikka, Stephanie Boue, Raquel Norel, John Jeremy Rice, Gustavo Stolovitzky, Nikolai V Ivanov, Manuel C Peitsch, Julia Hoeng
Scientific Data 1(1), 140009-140009, 2014
Abstract   systems biology, biomedicine, phosphoproteomics, proteomics, computational biology, bioinformatics, biology, process verification

Inter-species Inference of Gene Set Enrichment in Lung Epithelial Cells from Proteomic and Large Transcriptomic Data Sets
Sahand Hormoz, Gyan Bhanot, Michael Biehl, Erhan Bilal, Pablo Meyer, Raquel Norel, Kahn Rhrissorrakrai, Adel Dayarian
Bioinformatics, btu569, Oxford Univ Press, 2014

The species translation challenge—a systems biology perspective on human and rat bronchial epithelial cells
Carine Poussin, Carole Mathis, Leonidas G Alexopoulos, Dimitris E Messinis, R\'emi HJ Dulize, Vincenzo Belcastro, Ioannis N Melas, Theodore Sakellaropoulos, Kahn Rhrissorrakrai, Erhan Bilal, others
Scientific Data1, Nature Publishing Group, 2014


2013

sbv IMPROVER Diagnostic Signature Challenge
Kahn Rhrissorrakrai, J Jeremy Rice, Stephanie Boue, Marja Talikka, Erhan Bilal, Florian Martin, Pablo Meyer, Raquel Norel, Yang Xiang, Gustavo Stolovitzky, Julia Hoeng, Manuel C Peitsch
Systems Biomedicine 1(4), 196-207, 2013
Abstract   workflow, crowdsourcing, data science, gene signature, data mining, engineering, molecular classification, process verification, pulmonary disease, research task, wisdom of crowds

On crowd-verification of biological networks
Sam Ansari, Jean Binder, Stephanie Boue, Anselmo Di Fabio, William Hayes, Julia Hoeng, Anita Iskandar, Robin Kleiman, Raquel Norel, Manuel C Peitsch, others
Bioinformatics and biology insights7, Libertas Academica Ltd, 2013

sbv IMPROVER diagnostic signature challenge: design and results
Rhrissorrakrai, Kahn and Rice, J Jeremy and Boue, Stephanie and Talikka, Marja and Bilal, Erhan and Martin, Florian and Meyer, Pablo and Norel, Raquel and Xiang, Yang and Stolovitzky, Gustavo and others
Systems Biomedicine 1(4), 196--207, Taylor & Francis, 2013

sbv IMPROVER Diagnostic Signature Challenge: Scoring strategies
Norel, Raquel and Bilal, Erhan and Conrad-Chemineau, Nathalie and Bonneau, Richard and de la Fuente, Alberto and Jurisica, Igor and Marbach, Daniel and Meyer, Pablo and Rice, J Jeremy and Tuller, Tamir and others
Systems Biomedicine 1(4), 208--216, Taylor & Francis, 2013

Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach
P. Meyer, G. Siwo, D. Zeevi, E. Sharon, R. Norel, E. Segal, G. Stolovitzky, G. Siwo, A. K. Rider, A. Tan, R. S. Pinapati, S. Emrich, N. Chawla, M. T. Ferdig, Y. A. Tung, Y. S. Chen, M. J. Chen, C. Y. Chen, J. M. Knight, S. M. Sahraeian, M. S. Esfahani, R.
Genome Res. 23(11), 1928--1937, 2013

Translational systems biology understanding the limits of animal models as predictors of human biology
Carine Poussin, Leonidas Alexopoulos, Vincenzo Belcastro, Erhan Bilal, Carole Mathis, Pablo Meyer, Raquel Norel, Jeremy J Rice, Gustavo Stolovitzky, Julia Hoeng, others
EMBnet. journal 19(A), p--30, 2013

Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge
A. L. Tarca, M. Lauria, M. Unger, E. Bilal, S. Boue, K. Kumar Dey, J. Hoeng, H. Koeppl, F. Martin, P. Meyer, P. Nandy, R. Norel, M. Peitsch, J. J. Rice, R. Romero, G. Stolovitzky, M. Talikka, Y. Xiang, C. Zechner, A. Veliz-Cuba, J. Song, H. Nguyen, M. Zel
Bioinformatics 29(22), 2892--2899, 2013

Critical assessment of automated flow cytometry data analysis techniques
Nima Aghaeepour, Greg Finak, Holger Hoos, Tim R Mosmann, Ryan Brinkman, Raphael Gottardo, Richard H Scheuermann, others
Nature methods 10(3), 228--238, Nature Publishing Group, 2013

Evaluation of methods for modeling transcription factor sequence specificity
M.T. Weirauch, A. Cote, R. Norel, M. Annala, Y. Zhao, T.R. Riley, J. Saez-Rodriguez, T. Cokelaer, A. Vedenko, S. Talukder, others
Nature biotechnology, Nature Publishing Group, 2013


2012

Industrial methodology for process verification in research (IMPROVER)
Pablo Meyer, Julia Hoeng, J. Jeremy Rice, Raquel Norel, Jorg Sprengel, Katrin Stolle, Thomas Bonk, Stephanie Corthesy, Ajay Royyuru, Manuel C. Peitsch, Gustavo Stolovitzky
Bioinformatics 28(9), 1193-1201, 2012
Abstract   workflow, research program, data science, systems biology, computer science, process verification

Industrial methodology for process verification in research (IMPROVER): toward systems biology verification
P. Meyer, J. Hoeng, J. J. Rice, R. Norel, J. Sprengel, K. Stolle, T. Bonk, S. Corthesy, A. Royyuru, M. C. Peitsch, G. Stolovitzky
Bioinformatics 28(9), 1193--1201, 2012


2011

The self-assessment trap: can we all be better than average?
Norel, Raquel and Rice, John Jeremy and Stolovitzky, Gustavo
Molecular systems biology 7(1), 537, EMBO Press, 2011

The self-assessment trap: can we all be better than average?
R. Norel, J.J. Rice, G. Stolovitzky
Molecular Systems Biology 7(1), Nature Publishing Group, 2011

Verification of systems biology research in the age of collaborative competition
P. Meyer, L. G. Alexopoulos, T. Bonk, A. Califano, C. R. Cho, A. de la Fuente, D. de Graaf, A. J. Hartemink, J. Hoeng, N. V. Ivanov, H. Koeppl, R. Linding, D. Marbach, R. Norel, M. C. Peitsch, J. J. Rice, A. Royyuru, F. Schacherer, J. Sprengel, K. Stolle,
Nat. Biotechnol. 29(9), 811--815, 2011


2010

PUDGE: a flexible, interactive server for protein structure prediction
R Norel, D Petrey, B Honig
Nucleic acids research 38(suppl 2), W550--W554, Oxford Univ Press, 2010

Protein interface conservation across structure space
Q C Zhang, D Petrey, R Norel, B H Honig
Proceedings of the National Academy of Sciences 107(24), 10896, National Acad Sciences, 2010


2009

MicroRNA-23b cluster microRNAs regulate transforming growth factor-beta/bone morphogenetic protein signaling and liver stem cell differentiation by targeting Smads
C E Rogler, L LeVoci, T Ader, A Massimi, T Tchaikovskaya, R Norel, L E Rogler
Hepatology 50(2), 575--584, Wiley Online Library, 2009


2006



2005

cDNA microarray analysis of HBV transgenic mouse liver identifies genes in lipid biosynthetic and growth control pathways affected by HBV
M Hajjou, R Norel, R Carver, P Marion, J Cullen, L E Rogler, C E Rogler
Journal of medical virology 77(1), 57--65, Wiley Online Library, 2005


2004

RNA expression microarrays (REMs), a high-throughput method to measure differences in gene expression in diverse biological samples
C E Rogler, T Tchaikovskaya, R Norel, A Massimi, C Plescia, E Rubashevsky, P Siebert, L E Rogler
Nucleic acids research 32(15), e120--e120, Oxford Univ Press, 2004


2003

940 HBV replication increases steady state MRNA level of selected lipid biosynthesis genes in HBV transgenic mouse liver
M Hajjou, R Norel, R Carver, P Marion, J Cullen, L E Rogler, C E Rogler
Hepatology38, 610, Elsevier, 2003

271 Embryonic hepatoblasts share patterns of gene expression with other stem cell populations
T Ader, R Norel, C E Rogler, L E Rogler
Hepatology38, 286--287, Elsevier, 2003


2001

Protein-Ligand Interactions: Energetic Contributions and Shape Complementarity
Chung-Jung Tsai, Raquel Norel, Haim J Wolfson, Jacob V Maizel, Ruth Nussinov
Encyclopedia of Life Sciences, John Wiley & Sons, Ltd, 2001

Electrostatic contributions to protein--protein interactions: fast energetic filters for docking and their physical basis
R Norel, F Sheinerman, D Petrey, B Honig
Protein Science 10(11), 2147--2161, Wiley Online Library, 2001


2000

Electrostatic aspects of protein--protein interaction
FB Scheinerman, R Norel, B Honig
Curr Opin Struct Biol10, 153--159, 2000

Electrostatic aspects of protein--protein interactions
F B Sheinerman, R Norel, B Honig
Current Opinion in Structural Biology 10(2), 153--159, Elsevier, 2000


1999

Small Molecule Recognition: Solid Angles Surface Representation and Molecular Shape Complementarity
Norel, R. Wolfson, H. J. Nussinov, R.
COMBINATORIAL CHEMISTRY AND HIGH THROUGHPUT SCREENING 2(4), 223-236, BENTHAM SCIENCE PUBLICSHERS, 1999

Examination of shape complementarity in docking of unbound proteins
R Norel, D Petrey, H J Wolfson, R Nussinov
Proteins: Structure, Function, and Bioinformatics 36(3), 307--317, Wiley Online Library, 1999


1998

[Invited Lecture] Structural motifs in the interior and on the surfaces of protein monomers and at protein-protein interfaces
R Nussinov, R Norel, B Sandak, G Verbitsky, H J Wolfson
German Conference on Bioinformatics, 1998

Algorithms for Protein Docking
R Norel
Ph.D. Thesis, 1998

Molecular surface variability and induced conformational changes upon protein-protein association
R Norel, S L Lin, D Xu, H J Wolfson, R Nussinov
Journal of Biomolecular Structure and Dynamics 16(1), 33--35, Guilderland, NY: Adenine Press,[c1983-, 1998


1996



1995

Molecular surface complementarity at protein-protein interfaces: the critical role played by surface normals at well placed, sparse, points in docking
R Norel, S L Lin, H J Wolfson, R Nussinov, others
Journal of molecular biology 252(2), 263--274, London, New York, Academic Press., 1995


1994

Molecular surface recognition by a computer vision-based technique
R Norel, D Fischer, H J Wolfson, R Nussinov
Protein engineering 7(1), 39--46, Oxford Univ Press, 1994

Shape complementarity at protein--protein interfaces
R Norel, S L Lin, H J Wolfson, R Nussinov
Biopolymers 34(7), 933--940, Wiley Online Library, 1994


1993

3-d docking of protein molecules
D Fischer, R Norel, R Nussinov, H Wolfson
Combinatorial Pattern Matching, pp. 20--34, 1993

Surface motifs by a computer vision technique: searches, detection, and implications for protein--ligand recognition
D Fischer, R Norel, H Wolfson, R Nussinov
Proteins: Structure, Function, and Bioinformatics 16(3), 278--292, Wiley Online Library, 1993


1991

A model for the adjustment of the mitotic clock by cyclin and MPF levels
R Norel, Z Agur
Science 251(4997), 1076--1078, American Association for the Advancement of Science, 1991


Year Unknown

Nucleic acids research Volume: 32 ISSN: 1362-4962 ISO Abbreviation: Nucleic Acids Res. Publication Date: 2004
C E Rogler, T Tchaikovskaya, R Norel, A Massimi, C Plescia, E Rubashevsky, P Siebert, L E Rogler
Detail:, 0

Protein--Ligand Interactions: Energetic Contributions and Shape Complementarity
C J Tsai, R Norel, H J Wolfson, J V Maizel, R Nussinov
eLS, Wiley Online Library, 0

Wolfson, and Nussinov, R.,(1994). Surface motifs by a Computer Vision Technique: Searches, Detection and Implications for Protein Ligand Recognition
DR Fisher, RH Norel
Protein: Structure, Function and Genetics16, 278--292, 0