J
Jaroslaw Meller
Researcher at University of Cincinnati
Publications - 79
Citations - 5490
Jaroslaw Meller is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Protein structure prediction & Context (language use). The author has an hindex of 29, co-authored 74 publications receiving 4940 citations. Previous affiliations of Jaroslaw Meller include University of Cincinnati Academic Health Center & Cincinnati Children's Hospital Medical Center.
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Journal ArticleDOI
fw2.2: a quantitative trait locus key to the evolution of tomato fruit size.
Anne Frary,T. Clint Nesbitt,Amy Frary,Silvana Grandillo,Esther van der Knaap,Bin Cong,Jiping Liu,Jaroslaw Meller,Ron Elber,Kevin B. Alpert,Steven D. Tanksley +10 more
TL;DR: Alterations in fruit size, imparted by fw2.2 alleles, are most likely due to changes in regulation rather than in the sequence and structure of the encoded protein.
Journal ArticleDOI
Prediction-based fingerprints of protein-protein interactions.
Aleksey Porollo,Jaroslaw Meller +1 more
TL;DR: The authors demonstrate that RSA prediction‐based fingerprints of protein interactions significantly improve the discrimination between interacting and noninteracting sites, compared with evolutionary conservation, physicochemical characteristics, structure‐derived and other features considered before.
Journal ArticleDOI
Combining prediction of secondary structure and solvent accessibility in proteins.
TL;DR: It is concluded that an increase in the 3‐state classification accuracy may be achieved when combining RSA with a state‐of‐the‐art protocol utilizing evolutionary profiles, as well as for prediction protocols that implicitly account for RSA in other ways.
Journal ArticleDOI
The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
Alexandra B Keenan,Sherry L. Jenkins,Kathleen M. Jagodnik,Simon Koplev,Edward He,Denis Torre,Zichen Wang,Anders B. Dohlman,Moshe C. Silverstein,Alexander Lachmann,Maxim V. Kuleshov,Avi Ma'ayan,Vasileios Stathias,Raymond Terryn,Daniel J. Cooper,Michele Forlin,Amar Koleti,Dusica Vidovic,Caty Chung,Stephan C. Schürer,Jouzas Vasiliauskas,Marcin Pilarczyk,Behrouz Shamsaei,Mehdi Fazel,Yan Ren,Wen Niu,Nicholas A. Clark,Shana White,Naim Al Mahi,Lixia Zhang,Michal Kouril,John F. Reichard,Siva Sivaganesan,Mario Medvedovic,Jaroslaw Meller,Rick J. Koch,Marc R. Birtwistle,Ravi Iyengar,Eric A. Sobie,Evren U. Azeloglu,Julia A. Kaye,Jeannette Osterloh,Kelly Haston,Jaslin Kalra,Steve Finkbiener,Jonathan Z. Li,Pamela Milani,Miriam Adam,Renan Escalante-Chong,Karen Sachs,Alexander LeNail,Divya Ramamoorthy,Ernest Fraenkel,Gavin Daigle,Uzma Hussain,Alyssa Coye,Jeffrey D. Rothstein,Dhruv Sareen,Loren Ornelas,Maria G. Banuelos,Berhan Mandefro,Ritchie Ho,Clive N. Svendsen,Ryan G. Lim,Jennifer Stocksdale,Malcolm Casale,Terri G. Thompson,Jie Wu,Leslie M. Thompson,Victoria Dardov,Vidya Venkatraman,Andrea Matlock,Jennifer E. Van Eyk,Jacob D. Jaffe,Malvina Papanastasiou,Aravind Subramanian,Todd R. Golub,Sean D. Erickson,Mohammad Fallahi-Sichani,Marc Hafner,Nathanael S. Gray,Jia-Ren Lin,Caitlin E. Mills,Jeremy L. Muhlich,Mario Niepel,Caroline E. Shamu,Elizabeth H. Williams,David Wrobel,Peter K. Sorger,Laura M. Heiser,Joe W. Gray,James E. Korkola,Gordon B. Mills,Mark A. LaBarge,Mark A. LaBarge,Heidi S. Feiler,Mark A. Dane,Elmar Bucher,Michel Nederlof,Damir Sudar,Sean M. Gross,David Kilburn,Rebecca Smith,Kaylyn Devlin,Ron Margolis,Leslie Derr,Albert Lee,Ajay Pillai +107 more
TL;DR: The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders.
Journal ArticleDOI
Accurate prediction of solvent accessibility using neural networks-based regression.
TL;DR: A novel method for improved prediction of relative solvent accessibilities (RSAs) of amino acid residues in proteins using nonlinear regression, with several feed forward and recurrent neural networks, which are then combined into a consensus predictor.