FGCS'94 Workshop 4 Fusion of Molecular Biology and Knowledge Information Processing
COVER
Contents
Aims of the Workshop	iii
Invited Talks
Modeling Protein Families and Human Genes: Hidden Markov Models and a Little Beyond	1
Pierre Baldi
Using Stochastic Context-Free Grammars to Fold, Align and Model Homologous RNA Sequences	14
David Haussler
Approaches to Encoding Biochemical Function	15
Toni Kazic
Talks
Representation of a 3D Protein Structure Using a Sequence of Line Segments	18
Tatsuya Akutsu
Modeling of Protein Structure by Hidden Markov Models	21
Kiyoshi Asai
Pseudo Folding Simulation for RNA Secondary Structures Prediction	23
Minoru Asogawa
Sources of Constraints on the Secondary Structure of RNA and tRNA	25
John S. Conery
A Knowledge Base of Biological Phenomena(Biological Cascades)	27
Makoto Hirosawa
Inverse Protein Folding using Multi-Scale Structure Description	29
Kentaro Onizuka
On Sequence-Structure Alignment using Stochastic Grammars	36
Yasubumi Sakakibara
A kinetics of bacteriorhodopsin reconstituted from three partial polypeptides indicates a new thermodynamic aspect of protein	37
Yutaka Tsujiuchi
Extraction of Signal Patterns in DNA Sequences -Topology Optimization of Hidden Markov Model using Genetic Algorithm-	38
Tetsushi Yada