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Data underlying the figures in the publication “Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning” published in Nat Biomed Eng, 2021, https://doi.org/10.1038/s41551-021-00699-9 The dataset contains a .zip folder with the scripts to perform therapeutic antibody optimization with deep learning, as described in Mason et al., 2019 [https://doi.org/10.1101/617860]. The detail description of the code availability, preparation, and usage can be found in the following github repository: https://github.com/dahjan/DMS_opt.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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