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Schneidman-Duhovny, Dina
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1

Structural basis for Mis18 complex assembly and its implica..:

Thamkachy, Reshma ; Medina-Pritchard, Bethan ; Park, Sang Ho...
EMBO Reports.  , 2024
Link: https://doi.org/10.1038/..
 
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2

Integrative modeling meets deep learning: Recent advances i..:

Shor, Ben ; Schneidman-Duhovny, Dina
Current Opinion in Structural Biology.  87 (2024)  - p. 102841 , 2024
Link: https://doi.org/10.1016/..
 
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3

CombFold: predicting structures of large protein assemblies..:

Shor, Ben ; Schneidman-Duhovny, Dina
Nature Methods.  21 (2024)  3 - p. 477-487 , 2024
Link: https://doi.org/10.1038/..
 
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4

Identification of thrombosis-related conformational binding..:

Kim, Seung Joong ; Schneidman-Duhovny, Dina ; de Groot, Philip G....
Thrombosis Research.  237 (2024)  - p. 145-147 , 2024
Link: https://doi.org/10.1016/..
 
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5

RhoMax: Computational Prediction of Rhodopsin Absorption Ma..:

Sela, Meitar ; Church, Jonathan R. ; Schapiro, Igor.
Journal of Chemical Information and Modeling.  64 (2024)  12 - p. 4630-4639 , 2024
Link: https://doi.org/10.1021/..
 
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6

The Cdc48 N-terminal domain has a molecular switch that med..:

Oppenheim, Tal ; Radzinski, Meytal ; Braitbard, Merav...
Structure.  31 (2023)  7 - p. 764-779.e8 , 2023
Link: https://doi.org/10.1016/..
 
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7

A spectrum of free software tools for processing the VCF va..:

Garrison, Erik ; Kronenberg, Zev N. ; Dawson, Eric T....
PLOS Computational Biology.  18 (2022)  5 - p. e1009123 , 2022
Link: https://doi.org/10.1371/..
 
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8

Implementation of residue-level coarse-grained models in GE..:

Tan, Cheng ; Jung, Jaewoon ; Kobayashi, Chigusa...
PLOS Computational Biology.  18 (2022)  4 - p. e1009578 , 2022
Link: https://doi.org/10.1371/..
 
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9

Analyzing nested experimental designs—A user-friendly resam..:

Kulkarni, Rishikesh U. ; Wang, Catherine L. ; Bertozzi, Carolyn R..
PLOS Computational Biology.  18 (2022)  5 - p. e1010061 , 2022
Link: https://doi.org/10.1371/..
 
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10

gmxapi: A GROMACS-native Python interface for molecular dyn..:

Irrgang, M. Eric ; Davis, Caroline ; Kasson, Peter M..
PLOS Computational Biology.  18 (2022)  2 - p. e1009835 , 2022
Link: https://doi.org/10.1371/..
 
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11

Polypolish: Short-read polishing of long-read bacterial gen..:

Wick, Ryan R. ; Holt, Kathryn E. ; Schneidman-Duhovny, Dina
PLOS Computational Biology.  18 (2022)  1 - p. e1009802 , 2022
Link: https://doi.org/10.1371/..
 
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12

Testing microbiome associations with survival times at both..:

Hu, Yingtian ; Li, Yunxiao ; Satten, Glen A...
PLOS Computational Biology.  18 (2022)  9 - p. e1010509 , 2022
Link: https://doi.org/10.1371/..
 
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13

Bayesian calibration, process modeling and uncertainty quan..:

Helleckes, Laura Marie ; Osthege, Michael ; Wiechert, Wolfgang...
PLOS Computational Biology.  18 (2022)  3 - p. e1009223 , 2022
Link: https://doi.org/10.1371/..
 
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14

OrganoID: A versatile deep learning platform for tracking a..:

Matthews, Jonathan M. ; Schuster, Brooke ; Kashaf, Sara Saheb...
PLOS Computational Biology.  18 (2022)  11 - p. e1010584 , 2022
Link: https://doi.org/10.1371/..
 
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15

Mining folded proteomes in the era of accurate structure pr..:

Bayly-Jones, Charles ; Whisstock, James C. ; Schneidman-Duhovny, Dina
PLOS Computational Biology.  18 (2022)  3 - p. e1009930 , 2022
Link: https://doi.org/10.1371/..
 
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