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Graham Kemp

Professor at the Data Science and AI division, Department of Computer Science and Engineering.

kemp@chalmers.se +46729744787, +46 31 772 54 11 Find me http://orcid.org/0000-0001-8633-456X

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Publications

Latest publications

2016
Computational protein modelling based on limited sets of constraints

Author: Maryana Wånggren; Martin Billeter; Graham Kemp

Published: 2016

Published in:

Publication type: Paper in proceedings
2013
Computation of Binding Energies Including Their Enthalpy and Entropy Components for Protein-Ligand Complexes Using Support Vector Machines

Author: Ashok Krishna Chaitanya Koppisetty; M. Frank; Graham Kemp; Per-Georg Nyholm

Published: 2013

Published in: Journal of Chemical Information and Computer Sciences

Publication type: Journal article
2011
Standardizing radiation oncology data for future modelling of side effects after radiation therapy

Author: Caroline Olsson; Graham Kemp

Published: 2011

Published in:

Publication type: Paper in proceedings
2010
Data Integration in the Life Sciences 7th International Conference, DILS 2010, Gothenburg, Sweden, August 25-27, 2010. Proceedings

Author: Patrick Lambrix; Graham Kemp

Published: 2010

Published in:

Publication type: Edited book
An automated framework for understanding structural variations in the binding grooves of MHC class II molecules

Author: Kalidas Yeturu; Tapani Utriainen; Graham Kemp; Nagasuma Chandra

Published: 2010

Published in: BMC Bioinformatics

Publication type: Journal article
Identification of protein binding surfaces using surface triplet propensities

Author: W. Mehio; Graham Kemp; P. Taylor; M. D. Walkinshaw

Published: 2010

Published in: Bioinformatics

Publication type: Journal article
2009
An analytical solution for finding voids and bottlenecks within macromolecules

Author: Fredrik Boulund; Viktor Jonsson; Erik Sterner; Graham Kemp

Published: 2009

Published in:

Publication type: Conference poster
STP: A Program to Predict Protein Binding Surfaces

Author: Wissam Mehio; Graham Kemp; Paul Taylor; Malcolm D. Walkinshaw

Published: 2009

Published in:

Publication type: Conference poster
Predicting functional upstream open reading frames in Saccharomyces cerevisiae

Author: Selpi Selpi; Christopher H. Bryant; Graham Kemp; Janeli Sarv; Erik Kristiansson; Per Sunnerhagen

Published: 2009

Published in: BMC Bioinformatics

Publication type: Journal article
Deriving binding site signatures in MHC Class II molecules, using a novel algorithm

Author: Kalidas Yeturu; Graham Kemp; Nagasuma Chandra

Published: 2009

Published in:

Publication type: Conference poster
Uniform Query Processing in a Federation of RDFS and Relational Resources

Author: Merja Karjalainen; Graham Kemp

Published: 2009

Published in:

Publication type: Paper in proceedings
2008
An Ontology-Based Approach to Car Simulation and Design

Author: Stuart Chalmers; Josef Nilsson; Håkan Edler; Graham Kemp

Published: 2008

Published in:

Publication type: Paper in proceedings
A Functional Data Model Approach to Querying RDF/RDFS Data

Author: João Martins; Rui Nunes; Merja Karjalainen; Graham Kemp

Published: 2008

Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication type: Paper in proceedings
Using mRNA Secondary Structure Predictions Improves Recognition of Known Yeast Functional uORFs

Author: Selpi Selpi; C. H. Bryant; Graham Kemp

Published: 2008

Published in:

Publication type: Paper in proceedings
2007
Using surface patch profiles to predict protein-protein binding surfaces

Author: Wissam Mehio; Graham Kemp

Published: 2007

Published in:

Publication type: Conference poster
Identification of putative regulatory upstream ORFs in the yeast genome using heuristics and evolutionary conservation

Author: Marija Cvijovic; Daniel Dalevi; Elizabeth Bilsland; Graham Kemp; Per Sunnerhagen

Published: 2007

Published in: BMC Bioinformatics

Publication type: Journal article
Using long fragments to reconstruct RNA backbones

Author: Tapani Utriainen; Graham Kemp

Published: 2007

Published in:

Publication type: Paper in proceedings
Using Inductive Logic Programming to Predict Functional Upstream Open Reading Frames in Yeast

Author: Selpi Selpi; C. H. Bryant; Graham Kemp; M. Cvijovic

Published: 2007

Published in:

Publication type: Conference poster
PROPHECY—a yeast phenome database, update 2006

Author: Luciano Fernandez-Ricaud; Jonas Warringer; Elke Ericson; Kerstin Glaab; Pär Davidsson; Fabian Nilsson; Graham Kemp; Olle Nerman; Anders Blomberg

Published: 2007

Published in: Nucleic Acids Research

Publication type: Journal article
2006
A First Step towards Learning which uORFs Regulate Gene Expression

Author: Selpi Selpi; C. H. Bryant; Graham Kemp; M. Cvijovic

Published: 2006

Published in: Journal of integrative bioinformatics

Publication type: Journal article
Capturing Quantified Constraints in FOL, Through Interaction with a Relationship Graph

Author: P. M. D. Gray; Graham Kemp

Published: 2006

Published in:

Publication type: Paper in proceedings
2005
The use of a genetic algorithm search for molecular mechanics (MM3)-based conformational analysis of oligosaccharides.

Author: Per-Georg Nyholm; Avi Nahmany; F. Strino; Graham Kemp; Per-Georg Nyholm

Published: 2005

Published in: Carbohydrate Research

Publication type: Journal article
Predicting peptide interactions with model class II MHC structures

Author: Martin T. Swain; Anthony J. Brooks; Graham Kemp

Published: 2005

Published in: International Journal on Artificial Intelligence Tools

Publication type: Journal article
Models of Database Interconnectivity

Author: Graham Kemp

Published: 2005

Published in:

Publication type: Book chapter
PROPHECY - a database for high-resolution phenomics

Author: Luciano Fernandez-Ricaud; Jonas Warringer; Elke Ericson; Ilona Pylvänäinen; Graham Kemp; Olle Nerman; Anders Blomberg

Published: 2005

Published in: Nucleic Acids Research

Publication type: Journal article

Go to Chalmers publication library

Published: Sun 25 Aug 2013. Modified: Tue 15 Jan 2019