Christopher J. Langmead

发表

Efficient Modeling and Active Learning Discovery of Biological Responses

Robert F. Murphy, Armaghan W. Naik, Joshua D. Kangas, 2013, PloS one.

A graphical model approach for predicting free energies of association for protein-protein interactions under backbone and side-chain flexibility

Chris Bailey-Kellogg, Hetunandan Kamisetty, Christopher J. Langmead, 2008 .

Using Tensor Analysis to characterize Contact-map Dynamics of Proteins

Arvind Ramanathan, Christopher J. Langmead, Pratul K. Agarwal, 2008 .

Statistical Model Checking for Complex Stochastic Models in Systems Biology

Axel Legay, Sumit Kumar Jha, Edmund M. Clarke, 2009 .

The von Mises Graphical Model: Expectation Propagation for Inference (CMU-CS-11-130/CMU-CB-11-102)

Hetunandan Kamisetty, Christopher J. Langmead, Narges Razavian, 2011 .

Time-Varying Gaussian Graphical Models of Molecular Dynamics Data

Arvind Ramanathan, Subhodeep Moitra, Hetunandan Kamisetty, 2010 .

Dynamic Invariants in Protein Folding Pathways Revealed by Tensor Analysis

Arvind Ramanathan, Christopher J. Langmead, 2009 .

PyTensor: A Python based Tensor Library

Christopher J. Langmead, Ji Oh Yoo, Aravind Ramanathan, 2001 .

Generalized Queries and Bayesian Statistical Model Checking in Dynamic Bayesian Networks: Application to Personalized Medicine

Christopher J. Langmead, C. Langmead, 2009 .

Towards Inference and Learning in Dynamic Bayesian Networks using Generalized Evidence

Christopher J. Langmead, C. Langmead, 2008 .

Temporal-logics as query languages for dynamic Bayesian networks: application to D. melanogaster embryo development

Sumit Kumar Jha, Edmund M. Clarke, Christopher J. Langmead, 2006 .

Using Bit Vector Decision Procedures for Analysis of Protein Folding Pathways

Sumit Kumar Jha, Christopher J. Langmead, 2007 .

Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data

Carl Kingsford, Guillaume Marçais, Trevor S. Frisby, 2021, BMC Bioinform..

Discovery of 1,2,4-Triazine Derivatives as Adenosine A2A Antagonists using Structure Based Drug Design

Jonathan S. Mason, Christopher J. Langmead, S. P. Andrews, 2012, Journal of medicinal chemistry.

Orthosteric and Allosteric Modes of Interaction of Novel Selective Agonists of the M1 Muscarinic Acetylcholine Receptor

Arthur Christopoulos, Patrick M. Sexton, Christopher J. Langmead, 2010, Molecular Pharmacology.

The properties of thermostabilised G protein-coupled receptors (StaRs) and their use in drug discovery

Nathan Robertson, Ali Jazayeri, Christopher J. Langmead, 2011, Neuropharmacology.

Progress in Structure Based Drug Design for G Protein-Coupled Receptors

Jonathan S. Mason, Christopher J. Langmead, Miles Congreve, 2011, Journal of medicinal chemistry.

High-Throughput 3D Structural Homology Detection via NMR Resonance Assignment

Bruce Randall Donald, Christopher J. Langmead, 2004 .

Parameter estimation and synthesis for systems biology: New algorithms for nonlinear and stochastic models

Gilles Clermont, Sumit Kumar Jha, Alexandre Donzé, 2011 .

Discovering Conformational Sub-States Relevant to Protein Function

Arvind Ramanathan, Christopher J. Langmead, Pratul K. Agarwal, 2011, PloS one.

The von Mises Graphical Model: Regularized Structure and Parameter Learning (CMU-CS-11-129/CMU-CB-11-101)

Hetunandan Kamisetty, Christopher J. Langmead, Narges Razavian, 2011 .

Structure Learning for Generative Models of Protein Fold Families

Sivaraman Balakrishnan, Jaime G. Carbonell, Hetunandan Kamisetty, 2009 .

Article pubs.acs.org/jmc Identification of Novel Adenosine A 2A Receptor Antagonists by Virtual Screening

Nathan Robertson, Jonathan S. Mason, Christopher J. Langmead, 2022 .

MODELING AND INFERENCE OF SEQUENCE-STRUCTURE SPECIFICITY

Chris Bailey-Kellogg, Bornika Ghosh, Hetunandan Kamisetty, 2009 .