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Claire Marks

Showing results (1-10 of 18) with videos related to

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Bioinformatics (Oxford, England)|December 12, 2018
Increasing the accuracy of protein loop structure prediction with evolutionary constraintsClaire Marks, Charlotte M Deane
The Journal of Biological Chemistry|May 16, 2020
How repertoire data are changing antibody scienceClaire Marks, Charlotte M Deane
Bioinformatics (Oxford, England)|November 15, 2017
Predicting loop conformational ensemblesClaire Marks, Jiye Shi, Charlotte M Deane
Bioinformatics (Oxford, England)|June 10, 2021
Humanization of antibodies using a machine learning approach on large-scale repertoire dataClaire Marks, Alissa M Hummer, Mark Chin, et al.
Bioinformatics (Oxford, England)|August 18, 2020
CoV-AbDab: the coronavirus antibody databaseMatthew I J Raybould, Aleksandr Kovaltsuk, Claire Marks, et al.
Pharmacotherapy|September 29, 2021
Comparing newborn outcomes after prenatal exposure to individual antidepressants: A retrospective cohort studyClaire Marks, Rebecca Silvola, Evgennia Teal, et al.
Bioinformatics (Oxford, England)|March 18, 2020
TCRBuilder: multi-state T-cell receptor structure predictionWing Ki Wong, Claire Marks, Jinwoo Leem, et al.
Plos Computational Biology|March 1, 2021
Public Baseline and shared response structures support the theory of antibody repertoire functional commonalityMatthew I J Raybould, Claire Marks, Aleksandr Kovaltsuk, et al.
BMC Pregnancy and Childbirth|December 9, 2022
Does lack of exposure to individual antidepressants at different points during pregnancy associate with reduced risk of adverse newborn outcomes?Margaret A Tharp, Rebecca M Silvola, Claire Marks, et al.
Bioinformatics (Oxford, England)|April 29, 2017
Sphinx: merging knowledge-based and ab initio approaches to improve protein loop predictionClaire Marks, Jaroslaw Nowak, Stefan Klostermann, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|December 12, 2018
Increasing the accuracy of protein loop structure prediction with evolutionary constraintsClaire Marks, Charlotte M Deane
The Journal of Biological Chemistry|May 16, 2020
How repertoire data are changing antibody scienceClaire Marks, Charlotte M Deane
Bioinformatics (Oxford, England)|November 15, 2017
Predicting loop conformational ensemblesClaire Marks, Jiye Shi, Charlotte M Deane
Bioinformatics (Oxford, England)|June 10, 2021
Humanization of antibodies using a machine learning approach on large-scale repertoire dataClaire Marks, Alissa M Hummer, Mark Chin, et al.
Bioinformatics (Oxford, England)|August 18, 2020
CoV-AbDab: the coronavirus antibody databaseMatthew I J Raybould, Aleksandr Kovaltsuk, Claire Marks, et al.
Pharmacotherapy|September 29, 2021
Comparing newborn outcomes after prenatal exposure to individual antidepressants: A retrospective cohort studyClaire Marks, Rebecca Silvola, Evgennia Teal, et al.
Bioinformatics (Oxford, England)|March 18, 2020
TCRBuilder: multi-state T-cell receptor structure predictionWing Ki Wong, Claire Marks, Jinwoo Leem, et al.
Plos Computational Biology|March 1, 2021
Public Baseline and shared response structures support the theory of antibody repertoire functional commonalityMatthew I J Raybould, Claire Marks, Aleksandr Kovaltsuk, et al.
BMC Pregnancy and Childbirth|December 9, 2022
Does lack of exposure to individual antidepressants at different points during pregnancy associate with reduced risk of adverse newborn outcomes?Margaret A Tharp, Rebecca M Silvola, Claire Marks, et al.
Bioinformatics (Oxford, England)|April 29, 2017
Sphinx: merging knowledge-based and ab initio approaches to improve protein loop predictionClaire Marks, Jaroslaw Nowak, Stefan Klostermann, et al.
Pageof 2