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October 23, 2023
CSM-Potential2: A comprehensive deep learning platform for the analysis of protein interacting interfaces
Carlos H M Rodrigues, David B Ascher
Acta Crystallographica. Section F, Structural Biology and Crystallization Communications
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April 17, 2012
Crystallization and preliminary X-ray diffraction analysis of human endoplasmic reticulum aminopeptidase 2
David B Ascher, Galina Polekhina, Michael W Parker
Journal of Molecular Biology
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February 6, 2026
mCSM-metal: A Deep Learning Resource to Predict Effect of Mutations on Metal Ion Binding
Akshita Kumar, Ashar J Malik, David B Ascher
Current Opinion in Structural Biology
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February 7, 2026
Transformers as a substrate for structural biology
Ashar J Malik, Stephanie Portelli, David B Ascher
International Journal of Molecular Sciences
|
June 28, 2023
Identifying the Molecular Drivers of Pathogenic Aldehyde Dehydrogenase Missense Mutations in Cancer and Non-Cancer Diseases
Dana Jessen-Howard, Qisheng Pan, David B Ascher
Progress in Biophysics and Molecular Biology
|
February 10, 2015
Flexibility and small pockets at protein-protein interfaces: New insights into druggability
Harry Jubb, Tom L Blundell, David B Ascher
Nucleic Acids Research
|
May 23, 2018
Kinact: a computational approach for predicting activating missense mutations in protein kinases
Carlos Hm Rodrigues, David B Ascher, Douglas Ev Pires
Nucleic Acids Research
|
May 21, 2020
mmCSM-AB: guiding rational antibody engineering through multiple point mutations
Yoochan Myung, Douglas E V Pires, David B Ascher
Nucleic Acids Research
|
May 3, 2018
DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability
Carlos Hm Rodrigues, Douglas Ev Pires, David B Ascher
Pharmaceutics
|
February 25, 2023
CSM-Toxin: A Web-Server for Predicting Protein Toxicity
Vladimir Morozov, Carlos H M Rodrigues, David B Ascher
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Search research articles
Search
Showing results (11-20 of 197) with videos related to
Sort By:
Page
of 20
Proteins
|
October 23, 2023
CSM-Potential2: A comprehensive deep learning platform for the analysis of protein interacting interfaces
Carlos H M Rodrigues, David B Ascher
Acta Crystallographica. Section F, Structural Biology and Crystallization Communications
|
April 17, 2012
Crystallization and preliminary X-ray diffraction analysis of human endoplasmic reticulum aminopeptidase 2
David B Ascher, Galina Polekhina, Michael W Parker
Journal of Molecular Biology
|
February 6, 2026
mCSM-metal: A Deep Learning Resource to Predict Effect of Mutations on Metal Ion Binding
Akshita Kumar, Ashar J Malik, David B Ascher
Current Opinion in Structural Biology
|
February 7, 2026
Transformers as a substrate for structural biology
Ashar J Malik, Stephanie Portelli, David B Ascher
International Journal of Molecular Sciences
|
June 28, 2023
Identifying the Molecular Drivers of Pathogenic Aldehyde Dehydrogenase Missense Mutations in Cancer and Non-Cancer Diseases
Dana Jessen-Howard, Qisheng Pan, David B Ascher
Progress in Biophysics and Molecular Biology
|
February 10, 2015
Flexibility and small pockets at protein-protein interfaces: New insights into druggability
Harry Jubb, Tom L Blundell, David B Ascher
Nucleic Acids Research
|
May 23, 2018
Kinact: a computational approach for predicting activating missense mutations in protein kinases
Carlos Hm Rodrigues, David B Ascher, Douglas Ev Pires
Nucleic Acids Research
|
May 21, 2020
mmCSM-AB: guiding rational antibody engineering through multiple point mutations
Yoochan Myung, Douglas E V Pires, David B Ascher
Nucleic Acids Research
|
May 3, 2018
DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability
Carlos Hm Rodrigues, Douglas Ev Pires, David B Ascher
Pharmaceutics
|
February 25, 2023
CSM-Toxin: A Web-Server for Predicting Protein Toxicity
Vladimir Morozov, Carlos H M Rodrigues, David B Ascher
Page
of 20