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Baakman, Coos
24  Ergebnisse:
OpenAccess-Volltexte X
Personensuche X
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1

Understanding structure-guided variant effect predictions u..:

Ramakrishnan, Gayatri ; Baakman, Coos ; Heijl, Stephan...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354367/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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2

Facilities that make the PDB data collection more powerful:

Lange, Joanna ; Baakman, Coos ; Pistorius, Arthur...
Lange , J , Baakman , C , Pistorius , A , Krieger , E , Hooft , R , Joosten , R P & Vriend , G 2020 , ' Facilities that make the PDB data collection more powerful ' , Protein Science , vol. 29 , no. 1 , pp. 330-344 . https://doi.org/10.1002/pro.3788.  , 2020
Link: https://research.vu.nl/e..
 
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3

Facilities that make the PDB data collection more powerful:

Lange, Joanna ; Baakman, Coos ; Pistorius, Arthur...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933850/.  , 2019
Link: http://www.ncbi.nlm.nih...
 
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4

MetaDome: Pathogenicity analysis of genetic variants throug..:

Wiel, Laurens ; Baakman, Coos ; Gilissen, Daan...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772141/.  , 2019
Link: http://www.ncbi.nlm.nih...
 
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5

GPCRDB: information system for G protein-coupled receptors:

Vroling, Bas ; Sanders, Marijn ; Baakman, Coos...
Nucleic Acids Research.  , 2011
Link: http://repositorio.unife..
 
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6

Homology modelling and spectroscopy, a never-ending love st..:

Venselaar, Hanka ; Joosten, Robbie P ; Vroling, Bas...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2841279.  , 2009
Link: http://www.ncbi.nlm.nih...
 
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7

Deeprank2:

Giulia Crocioni ; Dani L. Bodor ; Coos Baakman...
https://github.com/DeepRank/deeprank2/tree/v2.1.0.  , 2023
Link: https://zenodo.org/recor..
 
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8

DeeprankCore:

Giulia Crocioni ; Coos Baakman ; Daniel Rademaker...
https://github.com/DeepRank/deeprank-core/tree/v2.0.0.  , 2023
Link: https://zenodo.org/recor..
 
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9

Table1_Understanding structure-guided variant effect predic..:

Gayatri Ramakrishnan ; Coos Baakman ; Stephan Heijl...
doi:10.3389/fmolb.2023.1204157.s002.  , 2023
Link: https://doi.org/10.3389/..
 
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10

Table2_Understanding structure-guided variant effect predic..:

Gayatri Ramakrishnan ; Coos Baakman ; Stephan Heijl...
doi:10.3389/fmolb.2023.1204157.s003.  , 2023
Link: https://doi.org/10.3389/..
 
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11

Understanding structure-guided variant effect predictions u..:

Gayatri Ramakrishnan ; Coos Baakman ; Stephan Heijl...
https://www.frontiersin.org/articles/10.3389/fmolb.2023.1204157/full.  , 2023
Link: https://doi.org/10.3389/..
 
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12

Deeprank2:

Giulia Crocioni ; Dani L. Bodor ; Coos Baakman...
https://github.com/DeepRank/deeprank2/tree/v2.1.0.  , 2023
Link: https://zenodo.org/recor..
 
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13

DataSheet1_Understanding structure-guided variant effect pr..:

Gayatri Ramakrishnan ; Coos Baakman ; Stephan Heijl...
doi:10.3389/fmolb.2023.1204157.s001.  , 2023
Link: https://doi.org/10.3389/..
 
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14

Table3_Understanding structure-guided variant effect predic..:

Gayatri Ramakrishnan ; Coos Baakman ; Stephan Heijl...
doi:10.3389/fmolb.2023.1204157.s004.  , 2023
Link: https://doi.org/10.3389/..
 
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15

deeprank-core:

Giulia Crocioni ; Coos Baakman ; Daniel Rademaker...
https://github.com/DeepRank/deeprank-core/tree/v0.1.1.  , 2022
Link: https://zenodo.org/recor..
 
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