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Cavender, Chapin
111  Ergebnisse:
Personensuche X
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1

Machine-learned molecular mechanics force fields from large..:

Takaba, Kenichiro ; Friedman, Anika ; Cavender, Chapin...
Chemical Science.  , 2024
Link: https://doi.org/10.1039/..
 
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2

Development and benchmarking of a self-consistent force fie..:

Cavender, Chapin E. ; Behara, Pavan K. ; Dotson, David L....
Biophysical Journal.  123 (2024)  3 - p. 421a , 2024
Link: https://doi.org/10.1016/..
 
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3

Development and benchmarking of an open, self-consistent fo..:

Cavender, Chapin E. ; Behara, Pavan K. ; Boothroyd, Simon...
Biophysical Journal.  122 (2023)  3 - p. 421a , 2023
Link: https://doi.org/10.1016/..
 
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4

Pre-mRNA splicing factor U2AF2 recognizes distinct conforma..:

Glasser, Eliezra ; Maji, Debanjana ; Biancon, Giulia...
Nucleic Acids Research.  50 (2022)  9 - p. 5299-5312 , 2022
Link: https://doi.org/10.1093/..
 
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5

A small RNA that cooperatively senses two stacked metabolit..:

Schroeder, Griffin M. ; Cavender, Chapin E. ; Blau, Maya E....
Nature Communications.  13 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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6

Analysis of a preQ1-I riboswitch in effector-free and bound..:

Schroeder, Griffin M ; Dutta, Debapratim ; Cavender, Chapin E...
Nucleic Acids Research.  48 (2020)  14 - p. 8146-8164 , 2020
Link: https://doi.org/10.1093/..
 
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7

Arginine Forks Are a Widespread Motif to Recognize Phosphat..:

Chavali, Sai Shashank ; Cavender, Chapin E. ; Mathews, David H..
Journal of the American Chemical Society.  142 (2020)  47 - p. 19835-19839 , 2020
Link: https://doi.org/10.1021/..
 
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8

Structure of HIV TAR in complex with a Lab-Evolved RRM prov..:

Belashov, Ivan A ; Crawford, David W ; Cavender, Chapin E...
Nucleic Acids Research.  46 (2018)  13 - p. 6401-6415 , 2018
Link: https://doi.org/10.1093/..
 
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9

Trafficking of excitatory amino acid transporter 2-laden ve..:

Cavender, Chapin E. ; Gottipati, Manoj K. ; Parpura, Vladimir
Amino Acids.  47 (2014)  2 - p. 357-367 , 2014
Link: https://doi.org/10.1007/..
 
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10

openforcefield/openff-forcefields:

Behara, Pavan Kumar ; Gokey, Trevor ; Cavender, Chapin...
https://github.com/openforcefield/openff-forcefields/tree/2023.05.0.  , 2023
Link: https://zenodo.org/recor..
 
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11

openforcefield/openff-forcefields:

Behara, Pavan Kumar ; Gokey, Trevor ; Cavender, Chapin...
https://github.com/openforcefield/openff-forcefields/tree/2023.06.0.  , 2023
Link: https://zenodo.org/recor..
 
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12

openforcefield/openff-forcefields:

Behara, Pavan Kumar ; Gokey, Trevor ; Cavender, Chapin...
https://github.com/openforcefield/openff-forcefields/tree/2023.08.0.  , 2023
Link: https://zenodo.org/recor..
 
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13

openforcefield/openff-forcefields:

Behara, Pavan Kumar ; Gokey, Trevor ; Cavender, Chapin...
https://github.com/openforcefield/openff-forcefields/tree/2023.05.1.  , 2023
Link: https://zenodo.org/recor..
 
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14

Benchmarking QM theory for drug-like molecules to train for..:

Behara, Pavan Kumar ; Jang, Hyesu ; Horton, Joshua...
doi:10.5281/zenodo.7548776.  , 2022
Link: https://zenodo.org/recor..
 
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15

Development and benchmarking of an open, self-consistent fo..:

Cavender, Chapin E ; Behara, Pavan K ; Boothroyd, Simon...
doi:10.5281/zenodo.7696578.  , 2023
Link: https://zenodo.org/recor..
 
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