Richard H. Lathrop - researchr alias

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Viewing Publication 1 - 38 from 38

2011

ISCB Public Policy Statement on Open Access to Scientific and Technical Research LiteratureRichard H. Lathrop, Burkhard Rost. ploscb, 7(2), 2011. [doi]

Ensemble-Based Computational Approach Discriminates Functional Activity of p53 Cancer and Rescue MutantsÖzlem Demir, Roberta Baronio, Faezeh Salehi, Christopher D. Wassman, Linda Hall, G. Wesley Hatfield, Richard Chamberlin, Peter Kaiser, Richard H. Lathrop, Rommie E. Amaro. ploscb, 7(10), 2011. [doi]

2009

Predicting Positive p53 Cancer Rescue Regions Using Most Informative Positive (MIP) Active LearningSamuel A. Danziger, Roberta Baronio, Lydia Ho, Linda Hall, Kirsty Salmon, G. Wesley Hatfield, Peter Kaiser, Richard H. Lathrop. ploscb, 5(9), 2009. [doi]

2008

Computationally Optimised DNA Assembly of synthetic genesLiza S. Z. Larsen, Christopher D. Wassman, G. Wesley Hatfield, Richard H. Lathrop. ijbra, 4(3):324-336, 2008. [doi]

2007

DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA InteractionsKimberly A. Aeling, Nicholas R. Steffen, Matthew Johnson, G. Wesley Hatfield, Richard H. Lathrop, Donald F. Senear. tcbb, 4(1):117-125, 2007. [doi]

Choosing where to look next in a mutation sequence space: Active Learning of informative p53 cancer rescue mutantsSamuel A. Danziger, Jue Zeng, Ying Wang, Rainer K. Brachmann, Richard H. Lathrop. ismb 2007: 104-114 [doi]

2006

Functional Census of Mutation Sequence Spaces: The Example of p53 Cancer Rescue MutantsSamuel A. Danziger, Sanjay Joshua Swamidass, Jue Zeng, Lawrence R. Dearth, Qiang Lu, Jonathan H. Chen, Jianlin Cheng, Vinh P. Hoang, Hiroto Saigo, Ray Luo, Pierre Baldi, Rainer K. Brachmann, Richard H. Lathrop. tcbb, 3(2):114-125, 2006. [doi]

2004

Biomedical Artificial IntelligenceRichard H. Lathrop. pricai 2004: 1 [doi]

2002

Guest Editors Introduction-Computer Science and Biology: An Unlikely PairLawrence Hunter, Richard H. Lathrop. expert, 17(2):8-10, 2002. [doi]

DNA sequence and structure: direct and indirect recognition in protein-DNA bindingNicholas R. Steffen, S. D. Murphy, L. Tolleri, G. Wesley Hatfield, Richard H. Lathrop. ismb 2002: 22-30

2001

DNA Structure, Protein-DNA Interactions, and DNA-Protein Expression - Session IntroductionP. F. Baldi, Richard H. Lathrop. psb 2001: 101-102 [doi]

Guest Editor s Introduction-Intelligent Systems in Biology: Why the Excitement?Richard H. Lathrop. expert, 16(6):8-13, 2001. [doi]

1999

1998

Knowledge-Based Avoidance of Drug-Resistant HIV MutantsRichard H. Lathrop, Nicholas R. Steffen, Miriam P. Raphael, Sophia Deeds-Rubin, Michael J. Pazzani, Paul J. Cimoch, Darryl M. See, Jeremiah G. Tilles. AAAI 1998: 1071-1078

Modeling Protein Homopolymeric Repeats: Possible Polyglutamine Structural Motifs for Huntington s DiseaseRichard H. Lathrop, Malcolm S. Casale, Douglas J. Tobias, J. Lawrence Marsh, Leslie M. Thompson. ismb 1998: 105-114

1997

1996

From Electron Density and Sequence to Structure: Integrating Protein Image Analysis and Threading for Structure DeterminationKim Baxter, Evan W. Steeg, Richard H. Lathrop, Janice I. Glasgow, Suzanne Fortier. ismb 1996: 25-33

On the Learnability of the UncomputableRichard H. Lathrop. icml 1996: 302-309

1994

Protein Structure Prediction: IntroductiosA. Keith Dunker, Richard H. Lathrop. hicss 1994: 295

Compass: A shape-based machine learning tool for drug designAjay N. Jain, Thomas G. Dietterich, Richard H. Lathrop, David Chapman, Roger E. Critchlow Jr., Barr E. Bauer, Teresa A. Webster, Tomás Lozano-Pérez. jcamd, 8(6):635-652, 1994.

A Branch-and-Bound Algorithm for Optimal Protein Threading with Pairwise (Contact Potential) Amino Acid InteractionsRichard H. Lathrop, Temple F. Smith. hicss 1994: 365-374

1993

A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity PredictionThomas G. Dietterich, Ajay N. Jain, Richard H. Lathrop, Tomás Lozano-Pérez. nips 1994: 216-223 [doi]

Massively Parallel Symbolic Induction of Protein Structure/Function RelationshipsRichard H. Lathrop, Teresa A. Webster, Temple F. Smith, Patrick H. Winston. siemens 1993: 157-173

1988

Advances in Functional Abstraction from StructureRichard H. Lathrop, Robert J. Hall, Gavan Duffy, K. Mark Alexander, Robert S. Kirk. dac 1988: 708-711 [doi]

1987

A Multiple Representation Approach to Understanding the Time Behavior of Digital CircuitsRobert J. Hall, Richard H. Lathrop, Robert S. Kirk. AAAI 1987: 799-803

Functional Abstraction from Structure in VLSI Simulation ModelsRichard H. Lathrop, Robert J. Hall, Robert S. Kirk. dac 1987: 822-828 [doi]

ARIADNE: Pattern-Directed Inference and Hierarchical Abstraction in Protein Structure RecognitionRichard H. Lathrop, Teresa A. Webster, Temple F. Smith. CACM, 30(11):909-921, 1987.

1986

A System Which Uses Examples to Learn VLSI Structure ManipulationsRichard H. Lathrop, Robert S. Kirk. AAAI 1986: 1024-1028

Precedent-based manipulation of VLSI structuresRichard H. Lathrop, Robert S. Kirk. dac 1986: 667-670 [doi]

Constrained (closed-loop) robot simulation by local constraint propagationRichard H. Lathrop. icra 1986: 689-694 [doi]

1985

An extensible object-oriented mixed-mod functional simulation systemRichard H. Lathrop, Robert S. Kirk. dac 1985: 630-636 [doi]

Parallelism in manipulator dynamicsRichard H. Lathrop. icra 1985: 772-778 [doi]

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