Ann E. Cleves

Orcid: 0000-0002-1622-2770

According to our database1, Ann E. Cleves authored at least 15 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Correction: Complex peptide macrocycle optimization: combining NMR restraints with conformational analysis to guide structure-based and ligand-based design.
J. Comput. Aided Mol. Des., December, 2024

2023
Complex peptide macrocycle optimization: combining NMR restraints with conformational analysis to guide structure-based and ligand-based design.
J. Comput. Aided Mol. Des., November, 2023

2021
Synergy and Complementarity between Focused Machine Learning and Physics-Based Simulation in Affinity Prediction.
J. Chem. Inf. Model., 2021

2020
Structure- and Ligand-Based Virtual Screening on DUD-E+: Performance Dependence on Approximations to the Binding Pocket.
J. Chem. Inf. Model., 2020

2019
Complex macrocycle exploration: parallel, heuristic, and constraint-based conformer generation using ForceGen.
J. Comput. Aided Mol. Des., 2019

Electrostatic-field and surface-shape similarity for virtual screening and pose prediction.
J. Comput. Aided Mol. Des., 2019

2018
Quantitative surface field analysis: learning causal models to predict ligand binding affinity and pose.
J. Comput. Aided Mol. Des., 2018

2017
ForceGen 3D structure and conformer generation: from small lead-like molecules to macrocyclic drugs.
J. Comput. Aided Mol. Des., 2017

2016
Extrapolative prediction using physically-based QSAR.
J. Comput. Aided Mol. Des., 2016

2015
Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock.
J. Comput. Aided Mol. Des., 2015

Chemical and protein structural basis for biological crosstalk between PPARα and COX enzymes.
J. Comput. Aided Mol. Des., 2015

2014
Prediction of Off-Target Drug Effects Through Data Fusion.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013
A structure-guided approach for protein pocket modeling and affinity prediction.
J. Comput. Aided Mol. Des., 2013

2012
Does your model weigh the same as a Duck?
J. Comput. Aided Mol. Des., 2012

2008
Effects of inductive bias on computational evaluations of ligand-based modeling and on drug discovery.
J. Comput. Aided Mol. Des., 2008


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