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Moll, Mark
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1

A General Algorithm for Time-Optimal Trajectory Generation ..:

, In: Springer Proceedings in Advanced Robotics; Algorithmic Foundations of Robotics XII,
Butler, Stephen D. ; Moll, Mark ; Kavraki, Lydia E. - p. 368-383 , 2020
Link: https://doi.org/10.1007/..
 
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2

Informing Multi-Modal Planning with Synergistic Discrete Le..:

, In: 2020 IEEE International Conference on Robotics and Automation (ICRA),
Kingston, Zachary ; Wells, Andrew M. ; Moll, Mark. - p. 3199-3205 , 2020
Link: https://doi.org/10.1109/..
 
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3

Improving the organization and interactivity of metabolic p..:

Kim, Sarah M. ; Peña, Matthew I. ; Moll, Mark..
BMC Bioinformatics.  21 (2020)  1 - p. , 2020
Link: https://doi.org/10.1186/..
 
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4

Using parallelized incremental meta-docking can solve the c..:

Devaurs, Didier ; Antunes, Dinler A ; Hall-Swan, Sarah...
BMC Molecular and Cell Biology.  20 (2019)  1 - p. , 2019
Link: https://doi.org/10.1186/..
 
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5

A scalable motion planner for high-dimensional kinematic sy..:

Luna, Ryan ; Moll, Mark ; Badger, Julia.
The International Journal of Robotics Research.  39 (2019)  4 - p. 361-388 , 2019
Link: https://doi.org/10.1177/..
 
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6

Exploring implicit spaces for constrained sampling-based pl..:

Kingston, Zachary ; Moll, Mark ; Kavraki, Lydia E
The International Journal of Robotics Research.  38 (2019)  10-11 - p. 1151-1178 , 2019
Link: https://doi.org/10.1177/..
 
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7

Decoupling Constraints from Sampling-Based Planners:

, In: Springer Proceedings in Advanced Robotics; Robotics Research,
Kingston, Zachary ; Moll, Mark ; Kavraki, Lydia E. - p. 913-928 , 2019
Link: https://doi.org/10.1007/..
 
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8

General Prediction of Peptide-MHC Binding Modes Using Incre..:

Antunes, Dinler A. ; Devaurs, Didier ; Moll, Mark..
Scientific Reports.  8 (2018)  1 - p. , 2018
Link: https://doi.org/10.1038/..
 
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9

Online motion planning for unexplored underwater environmen..:

Hernández, Juan David ; Vidal, Eduard ; Moll, Mark...
Journal of Field Robotics.  36 (2018)  2 - p. 370-396 , 2018
Link: https://doi.org/10.1002/..
 
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10

Machine Learning Guided Atom Mapping of Metabolic Reactions:

Litsa, Eleni E. ; Peña, Matthew I. ; Moll, Mark...
Journal of Chemical Information and Modeling.  59 (2018)  3 - p. 1121-1135 , 2018
Link: https://doi.org/10.1021/..
 
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11

General Prediction of Peptide-MHC Binding Modes Using Incre..:

, In: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics,
Antunes, Dinler A. ; Devaurs, Didier ; Moll, Mark.. - p. 568 ff. , 2018
Link: https://dl.acm.org/doi/1..
 
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12

A review of parameters and heuristics for guiding metabolic..:

Kim, Sarah M. ; Peña, Matthew I. ; Moll, Mark..
Journal of Cheminformatics.  9 (2017)  1 - p. , 2017
Link: https://doi.org/10.1186/..
 
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13

Coarse-Grained Conformational Sampling of Protein Structure..:

Devaurs, Didier ; Antunes, Dinler A. ; Papanastasiou, Malvina...
Frontiers in Molecular Biosciences.  4 (2017)  - p. , 2017
Link: https://doi.org/10.3389/..
 
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14

Special Issue on the 2014 Robotics Science & Systems Confer..:

Kavraki, Lydia E ; Moll, Mark
The International Journal of Robotics Research.  35 (2016)  1-3 - p. 3-4 , 2016
Link: https://doi.org/10.1177/..
 
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15

Structure-guided selection of specificity determining posit..:

Moll, Mark ; Finn, Paul W. ; Kavraki, Lydia E.
BMC Genomics.  17 (2016)  S4 - p. , 2016
Link: https://doi.org/10.1186/..
 
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