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Current Research in Artificial Intelligence and Molecular Biology

Published online by Cambridge University Press:  07 July 2009

Dominic A. Clark ,
Christopher J. Rawlings  and
Simon Parsons
Dominic A. Clark
Affiliation:
Imperial Cancer Research Fund, P.O. Box 123, Lincoln's Inn Fields, London, WC2A 3PX, UK.
Christopher J. Rawlings
Affiliation:
Imperial Cancer Research Fund, P.O. Box 123, Lincoln's Inn Fields, London, WC2A 3PX, UK.
Simon Parsons
Affiliation:
Imperial Cancer Research Fund, P.O. Box 123, Lincoln's Inn Fields, London, WC2A 3PX, UK.
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Type
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Information
The Knowledge Engineering Review , Volume 8 , Issue 4 , December 1993 , pp. 349 - 357
Copyright
Copyright © Cambridge University Press 1993

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References

Aaronson, J, Haas, J and Overton, GC, 1993, “Knowledge discovery in GenBank”, ISMB-93, 3–11.Google Scholar
Altman, R, 1993, “Probabilistic structure calculations: a three dimensional tRNA structure from sequence correlation data”, ISMB-93, 12–20.Google Scholar
Baclawski, K, Futrelle, R, Fridman, N and Pescitelli, MJ, 1993, “Database techniques for biological materials and methods”, ISMB-93, 21–28.Google Scholar
Brown, M, Hughey, R, Krogh, A, Mian, IS, Sjolander, K and Haussler, D, 1993, “Using Dirichlet mixture priors to derive hidden Markov models for protein families”, ISMB-93, 47–55.Google Scholar
Buchanan, BG and Feigenbaum, EA, 1978 “Dendral and Meta-Dendral: Their Application Dimension”, Artificial Intelligence, 11 (1), 5–24.Google Scholar
Clark, DA, Rawlings, CJ, Shirazi, J, Véron, A and Reeve, M, 1993, “Protein topology prediction through parallel constraint logic programming”, ISMB-93, 83–91.Google Scholar
Conklin, D, Fortier, S and Glasgow, J, 1993, “Representation for discovery of protein motifs”, ISMB-93, 101–108.Google Scholar
Cui, Z, Fox, J and Hearne, C, 1993, “Knowledge based systems for molecular biology: the role of advanced databases and formal specification”, IJCAI-93, 87–97.Google Scholar
Delcher, AL, Kasif, S, Goldberg, HR and Hsu, W, 1993, “Protein structure modelling with probabilistic networks”, ISMB-93, 109–117.Google Scholar
Dorkeld, F, Perrière, G and Gautier, C, 1993, “Object-oriented Modelling in Molecular Biology”, IJCAI-93, 99–106.CrossRefGoogle Scholar
Doursenot, S, Clark, DA, Rawlings, CJ and Véron, A, 1993, “Contig Mapping using ElipSys”, IJCAI-93, 3–11.Google Scholar
Dubchak, I, Holbrook, S and Sung-Hou, K, 1993, “Comparison of Two Variations of Neural Network Approach to the Prediction of Protein Folding Pattern”, ISMB-93, 118–126.Google Scholar
Ferran, EA, Ferrara, P and Pflugfelder, B, 1993, “Protein classification using neural networks”, ISMB-93, 127–135.Google Scholar
Glasgow, JI, Fortier, S, Allen, FH, 1993, “Representation for Molecular Scene Analysis”, IJCAI-93, 77–86.Google Scholar
Graves, M, 1993a, “Integrating order and distance relationships from heterogeneous maps”, ISMB-93, 154–162.Google Scholar
Graves, M, 1993b, “Knowledge Base Design Techniques for Genome Mapping”, IJCAI-93, 59–66Google Scholar
Hunter, L, 1991, “Artificial Intelligence and Molecular Biology”, Al Magazine, Winter 1991, 27–36Google Scholar
Hunter, L, 1993, Artificial Intelligence and Molecular Biology, AAAI/MIT Press, Menlo Park CA.Google Scholar
Ioerger, TR, Rendell, L and Surbramaniam, S, 1993, “Constructive induction and protein structure prediction”, ISMB-93, 198–206.Google Scholar
Ishikawa, M, Toya, T and Totoki, Y and Konagaya, 1993, “A Parallel Iterative Aligner with Genetic Algorithm”, IJCAI- 93, 13–21Google Scholar
Karp, P, 1993, “A Qualitative Biochemistry and its Application to the Regulation of the Tryptophan Operon. In Hunter (1993).Google Scholar
Karp, P and Riley, M, 1993, “Representations of metabolic knowledge”, ISMB-93, 207–215.Google Scholar
Klinger, TM and Brutlag, DL, 1993, “Detection of Correlations in tRNA Sequences with Structural Implications”, ISMB-93, 225–233.Google Scholar
Leng, B, Buchanan, BG and Nicholas, HB, 1993, “Protein secondary structure prediction using two level case-based reasoning”, ISMB-93, 251–259.Google Scholar
Matise, TC, Perlin, M and Chakravarti, A, 1993, “MultiMap: an expert system for automated genetic linkage mapping”, ISMB-93, 260–265.Google Scholar
Mavrovouniotis, ML, 1993a, “Identification of Qualitatively Feasible Metabolic Pathways. In Hunter (1993).Google Scholar
Mavrovouniotis, ML, 1993b, “Identification of Localized and Distributed Bottlenecks in Metabolic Pathways”, ISMB-93, 275–283.Google Scholar
Médigue, C, Willamowski, J, Schmeltzer, O, Uvietta, P, Rechenmann, F, Chevenet, F, Perriére, G and Gautier, C, 1993, “Modelling tasks for problem solving in molecular biology”, IJCAI-93, 67–75.Google Scholar
Mephu, Nguifo E and Sallantin, J, 1993, “Prediction of primate junction gene sequences with a cooperative knowledge acquisition system”, ISMB-93, 292–300.Google Scholar
Onizuka, K, Ishikawa, M, Wong, STC and Asai, K, 1993a, “A multi-level description scheme of protein conformation”, ISMB-93, 301–309.Google Scholar
Onizuka, K, Asai, K and Ishikawa, M, 1993b, “A Scheme for Protein Tertiary Structure Prediction Based on Stochastic Reasoning”, IJCAI-93, 49–58.Google Scholar
Parsons, R, Forrest, S and Burks, C, 1993, “Genetic algorithms for sequence assembly”, ISMB-93, 310–318.Google Scholar
Qian, N and Sejnowski, TJ, 1988, “Predicting the Secondary Structure of Globular Proteins using Neural Network Models, J. Mol. Biol, 202, 865–884.CrossRefGoogle ScholarPubMed
Skiena, S and Sundaram, G, 1993, “A partial digest approach to restriction site mapping”, ISMB-93, 362–370.Google Scholar
States, DJ, Harris, N and Hunter, L, 1993, “Computationally efficient cluster representation in molecular sequence mega classification”, ISMB-93, 387–394.Google Scholar
Steeg, EW, Robinson, D, Deerfield, DW, 1993, “The Efficient Detection of Higher-Order Features in Protein Sequence Data”, Working Paper (Abstract in IJCAI-93).Google Scholar
Stefik, M, 1978, ‘Inferring DNA Structures from Segmentation Data”, Artficial Intelligence, 11, 85–114.CrossRefGoogle Scholar
Stefik, M, 1981 a, “Planning with Constraints [MOLGEN: Pt 1]”, Artificial Intelligence, 16, 111–140.CrossRefGoogle Scholar
Stefik, M, 1981b, “Planning and meta-planning [MOLGEN: Pt 2]”, Artificial Intelligence, 16, 141–169.CrossRefGoogle Scholar
Tanaka, H, Asai, K, Ishikawa, M and Konagaya, A, 1993a, “Hidden Markov Models and Iterative Aligners: Study of Their Equivalence and Possibilities”, ISMB-93 395–401.Google Scholar
Tanaka, H, Onizuka, K and Asai, K, 1993b, “Classification of Proteins via Successive State Splitting of Hidden Markov Network, IJACI-93, 25–30.Google Scholar
Tchoumatchenko, I, Vissotsky, F and Ganascia, J.-G, 1993, “How to Make Explicit A Neural Network Trained to Predict Proteins Secondary Structure”, IJCAI-93, 31–47Google Scholar
Veretnik, S and Schatz, B, 1993, “Pattern discovery in gene regulation; designing an analysis environment”, ISMB-93, 411–419.Google Scholar
Wu, C, Berry, M, Fung, Y-S and McLarty, J, 1993, “Neural networks for molecular sequence classification”, ISMB-93, 429–437.Google Scholar
Zhang, X, Fetrow, JS, Rennie, WA, Waltz, DA and Berg, G, 1993, “Automatic derivation of sub-structures yields novel structural building blocks in globular proteins”, ISMB-93, 438–446.Google Scholar
ISMB-93 = Proceedings of the First International Conference on Intelligent Systems for Molecular Biology (eds. Hunter, L., Searls, D. and Shavlik, J.) AAAI/MIT Press, Menlo Park CA, 1993.Google Scholar
IJCAI-93 = Proceedings of the “Al and the Genome” workshop, IJCAI, Chambery, France.Google Scholar