Antibody Design
2022
R. Akbar, P. A. Robert, C. R. Weber, M. Widrich, R. Frank, M. Pavlović, L. Scheffer, M. Chernigovskaya, I. Snapkov, A. Slabodkin, B. B. Mehta, E. Miho, F. Lund-Johansen, J. T. Andersen, S. Hochreiter, I. H. Haff, G. Klambauer, G. K. Sandve, and V. Greiff (2022) In Silico Proof of Principle of Machine Learning-Based Antibody Design at Unconstrained Scale. mAbs, 14, 1, 2031482, 2022-04-04. (more) (download)