ILPnet2 library: Molecular Biology

ILP publications on Molecular Biology

This is a list of publications in the ILPnet2 on-line library dealing with Molecular Biology. Notice that Keywords are a new feature in the ILPnet2 library, so that only recent papers will be listed. The title of the article is a link to the full reference, including -- if provided by the author -- abstract and URL. It also allows easy access to related publications.

2002

L Badea. Functional discrimination of gene expression patterns using ILP. July 2002.

2001

SH Muggleton, CH Bryant, A Srinivasan, A Whittaker, S Topp, and C Rawlings. Are grammatical representations useful for learning from biological sequence data? - a case study. October 2001.
RD King, A Karwath, A Clare, and L Dehaspe. The utility of different representations of protein sequence for predicting functional class. May 2001.
C Bryant, S Muggleton, S Oliver, D Kell, P Reiser, and R King. Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. 2001.

2000

RD King, A Karwath, AJ Clare, and L Dehaspe. Genome scale prediction of protein functional class from sequence using data mining. August 2000.

1999

A Srinivasan, R King, and D Bristol. An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment. 1999.
B Pfahringer, E Gottmann, S Kramer, and C Helma. Representational/Efficiency Issues in Toxicological Knowledge Discovery. 1999.
A Srinivasan, R King, and D Bristol. An assessment of submissions made to the Predictive Toxicology Evaluation Challenge. 1999.
A Srinivasan and R King. Feature construction with Inductive Logic Programming: a study of quantitative predictions of biological activity aided by structural attributes. 1999.
A Srinivasan and R King. Using Inductive Logic Programming to construct Structure-Activity Relationships. 1999.

1998

I Mozetic. Secondary structure prediction by Inductive Logic Programming. December 1998.
L Dehaspe, H Toivonen, and RD King. Finding frequent substructures in chemical compounds. August 1998.
C Helma, S Kramer, and B Pfahringer. Carcinogenicity Prediction for Noncongeneric Compounds: Experiments with the Machine Learning Program SRT and Various Sets of Chemical Descriptors. 1998.
M Turcotte, S Muggleton, and M Sternberg. Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. 1998.
S Muggleton, A Srinivasan, R King, and M Sternberg. Biochemical knowledge discovery using Inductive Logic Programming. 1998.
S Muggleton. Knowledge discovery in biological and chemical domains. 1998, Abstract of keynote talk.

1997

D Zupanic, M Hodoscek, N Lavrac, and I Mozetic. Global energy minimization of small molecules combining Constraint Logic Programming and molecular mechanics. December 1997.
S Kramer, B Pfahringer, and C Helma. Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. 1997.

1994

M Sternberg, J Hurst, R Lewis, R King, A Srinivasan, and S Muggleton. Application of Machine Learning to Protein Structure Prediction and Drug Design. 1994.
M Sternberg, J Hirst, R Lewis, R King, A Srinivasan, and S Muggleton. Application of Machine Learning to Protein Structure Prediction and Drug Design. 1994.

1992

S Muggleton, R King, and M Sternberg. Protein secondary structure prediction using logic. 1992.
S Muggleton, R King, and M Sternberg. Protein secondary structure prediction using logic. 1992.