Sandve, Geir Kjetil

Ten Simple Rules for Reproducible Computational Research

Sandve, G. K., Nekrutenko, A., Taylor, J., & Hovig, E. (2013) · PLoS Computational Biology

Scientific Computing and Data ManagementResearch Data Management Practices

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In silico proof of principle of machine learning-based antibody design at unconstrained scale

Akbar, R., Robert, P. A., Weber, C. R., Widrich, M., Frank, R., Pavlović, M., Scheffer, L., Chernigovskaya, M., Snapkov, I., Slabodkin, A., et al. (2022) · mAbs

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

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Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability

Bashour, H., Smorodina, E., Pariset, M., Zhong, J., Akbar, R., Chernigovskaya, M., Lê Quý, K., Snapkow, I., Rawat, P., Krawczyk, K., et al. (2024) · Communications Biology

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 32

Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability

Bashour, H., Smorodina, E., Pariset, M., Zhong, J., Akbar, R., Chernigovskaya, M., Quý, K. L., Snapkov, I., Rawat, P., Krawczyk, K., et al. (2023) · Communications Biology

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 32