Richard H. Lathrop

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An anytime algorithm for gapped block protein threading with pair interactions

Richard H. Lathrop, R. Lathrop, 1999, RECOMB.

ARIADNE: pattern-directed inference and hierarchical abstraction in protein structure recognition

Richard H. Lathrop, Teresa A. Webster, Temple F. Smith, 1987, CACM.

Predicting Protein Structure With Probabilistic Models

Richard H. Lathrop, Collin M. Stultz, Raman Nambudripad, 1997 .

Genome Informatics 2002

Richard H. Lathrop, 2002 .

Guest Editor's Introduction-Intelligent Systems in Biology: Why the Excitement?

Richard H. Lathrop, 2001, IEEE Intell. Syst..

A System Which Uses Examples to Learn VLSI Structure Manipulations

Richard H. Lathrop, Robert S. Kirk, R. Lathrop, 1986, AAAI.

On the Learnability of the Uncomputable

Richard H. Lathrop, R. Lathrop, 1996, ICML.

Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, August 14-17, 1994, Stanford University, Stanford, California, USA

David B. Searls, Russ B. Altman, Peter D. Karp, 1994, Intelligent Systems in Molecular Biology.

Constrained (closed-loop) robot simulation by local constraint propagation

Richard H. Lathrop, R. Lathrop, 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

The threading approach to the inverse protein folding problem

Richard H. Lathrop, Temple F. Smith, Jadwiga R. Bienkowska, 1997, RECOMB '97.

Automatic generation of behavioral simulation models using functional abstraction

Richard H. Lathrop, Robert S. Kirk, G. Duffy, 1988, Proceedings of the IEEE 1988 Custom Integrated Circuits Conference.

Computer science and biology: an unlikely pair [Guest Editorial Introduction]

Lawrence Hunter, Richard H. Lathrop, 2002 .

Heterogeneous Biomedical Database Integration Using a Hybrid Strategy: A p53 Cantcer Research Database

Richard H. Lathrop, Vadim Y. Bichutskiy, Richard Colman, 2006, Cancer informatics.

An Extensible Object-Oriented Mixed-Mode Functional Simulation System

Richard H. Lathrop, Robert S. Kirk, 1985, 22nd ACM/IEEE Design Automation Conference.

DNA Structure, Protein-DNA Interactions, and DNA-Protein Expression - Session Introduction

Pierre Baldi, Richard H. Lathrop, 2001, Pacific Symposium on Biocomputing.

Compass: A shape-based machine learning tool for drug design

Thomas G. Dietterich, Richard H. Lathrop, Tomás Lozano-Pérez, 1994, J. Comput. Aided Mol. Des..

Knowledge-Based Avoidance of Drug-Resistant HIV Mutants

Richard H. Lathrop, Michael J. Pazzani, Nicholas R. Steffen, 1998, AI Mag..

ARIEL: a massively parallel symbolic learning assistant for protein structure and function

Richard H. Lathrop, Patrick Henry Winston, Teresa A. Webster, 1991 .

Modeling Protein Homopolymeric Repeats: Possible Polyglutamine Structural Motifs for Huntington's Disease

Richard H. Lathrop, Malcolm S. Casale, Douglas J. Tobias, 1998, ISMB.

Massively Parallel Symbolic Induction of Protein Structure/Function Relationships

Richard H. Lathrop, Patrick Henry Winston, Teresa A. Webster, 1993, Machine Learning: From Theory to Applications.

From Electron Density and Sequence to Structure: Integrating Protein Image Analysis and Threading for Structure Determination

Richard H. Lathrop, Janice I. Glasgow, Kim Baxter, 1996, ISMB.

Parallelism in Manipulator Dynamics

Richard H. Lathrop, R. Lathrop, 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

Advances in functional abstraction from structure

Richard H. Lathrop, Robert J. Hall, Gavan Duffy, 1988, 25th ACM/IEEE, Design Automation Conference.Proceedings 1988..

Biomedical Artificial Intelligence

Richard H. Lathrop, 2004, PRICAI.

DNA sequence and structure: direct and indirect recognition in protein-DNA binding

Richard H. Lathrop, G. Wesley Hatfield, G. W. Hatfield, 2002, ISMB.

Computer Science and Biology: An Unlikely Pair

Lawrence Hunter, Richard H. Lathrop, 2002 .

Protein Structure Prediction: Introductios

Richard H. Lathrop, A. Keith Dunker, 1994, HICSS.

An Extensible Object-Oriented Mixed-Mode Functional Simulation System

Richard H. Lathrop, Robert S. Kirk, 1985, DAC 1985.

Computationally Optimised DNA Assembly of synthetic genes

Richard H. Lathrop, G. Wesley Hatfield, G. W. Hatfield, 2008, Int. J. Bioinform. Res. Appl..

Current Limitations to Protein Threading Approaches

Richard H. Lathrop, Temple F. Smith, Jadwiga R. Bienkowska, 1997, J. Comput. Biol..

Functional Abstraction from Structure in VLSI Simulation Models

Richard H. Lathrop, Robert J. Hall, Robert S. Kirk, 1987, 24th ACM/IEEE Design Automation Conference.

A branch-and-bound algorithm for optimal protein threading with pairwise (contact potential) amino acid interactions

Richard H. Lathrop, Temple F. Smith, Temple F. Smith, 1994, 1994 Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences.

Solving the Multiple Instance Problem with Axis-Parallel Rectangles

Thomas G. Dietterich, Richard H. Lathrop, Tomás Lozano-Pérez, 1997, Artif. Intell..

Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology (ISMB-98), Montréal, Québec, Canada, June 28 - July 1, 1998

David Sankoff, Richard H. Lathrop, Christoph W. Sensen, 1998, Intelligent Systems in Molecular Biology.

Combinatorial Optimization in Rapidly Mutating Drug-Resistant Viruses

Richard H. Lathrop, Michael J. Pazzani, M. Pazzani, 1999, J. Comb. Optim..

Precedent-Based Manipulation of VLSI Structures

Richard H. Lathrop, Robert S. Kirk, R. Lathrop, 1986, 23rd ACM/IEEE Design Automation Conference.

Predicting Positive p53 Cancer Rescue Regions Using Most Informative Positive (MIP) Active Learning

Peter Kaiser, Richard H. Lathrop, G. Wesley Hatfield, 2009, PLoS Comput. Biol..

Protein structure prediction. Introduction to session

Richard H. Lathrop, A. Dunker, 1995 .

A Multiple Representation Approach to Understanding the Time Behavior of Digital Circuits

Richard H. Lathrop, Robert J. Hall, Robert S. Kirk, 1987, AAAI.

Guest Editors' Introduction-Computer Science and Biology: An Unlikely Pair

Lawrence Hunter, Richard H. Lathrop, 2002, IEEE Intell. Syst..

A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction

Thomas G. Dietterich, Richard H. Lathrop, Tomás Lozano-Pérez, 1993, NIPS.

Precedent-Based Manipulation of VLSI Structures

Richard H. Lathrop, Robert S. Kirk, 1986, DAC 1986.

Protein Structure Prediction - Session Introduction

Richard H. Lathrop, Jeffrey Skolnick, 1999, Pacific Symposium on Biocomputing.

An Anytime Local-to-Global Optimization Algorithm for Protein Threading in O(m2n2) Space

Richard H. Lathrop, R. Lathrop, 1999, J. Comput. Biol..

Ensemble-Based Computational Approach Discriminates Functional Activity of p53 Cancer and Rescue Mutants

Peter Kaiser, Richard H. Lathrop, G. Wesley Hatfield, 2011, PLoS Comput. Biol..

Functional census of mutation sequence spaces: the example of p53 cancer rescue mutants

Pierre Baldi, Ray Luo, Sanjay Joshua Swamidass, 2006, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA Interactions

Richard H. Lathrop, G. Wesley Hatfield, G. W. Hatfield, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Parallelism in Manipulator Dynamics

Richard H. Lathrop, R. Lathrop, 1985 .

Choosing where to look next in a mutation sequence space: Active Learning of informative p53 cancer rescue mutants

Ying Wang, Richard H. Lathrop, Rainer K. Brachmann, 2007, ISMB/ECCB.

Protein Structure Prediction in the Post Genomic Era

Richard H. Lathrop, Jeffrey Skolnick, 1998 .

Heterogeneous Biomedical Database Integration using a Hybrid Strategy: A P53 Cancer Research Database

Richard H. Lathrop, Vadim Y. Bichutskiy, Rainer K. Brachmann, 2006 .

All-codon scanning identifies p53 cancer rescue mutations

Richard H. Lathrop, G. W. Hatfield, Roberta Baronio, 2010, Nucleic acids research.

Application of a Genotypic Driven Rule-Based Expert Artificial Intelligence Computer System in Treatment Experienced HIV-Infected Patients

Richard H. Lathrop, Michael J. Pazzani, Paul J. Cimoch, 1999 .

DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA Interactions

Richard H. Lathrop, Nicholas R. Steffen, Donald F. Senear, 2007, TCBB.

ISCB Public Policy Statement on Open Access to Scientific and Technical Research Literature

Richard H. Lathrop, Burkhard Rost, 2011, PLoS computational biology.