
Example dataset for training SAM, a deep learning model for protein conformation generation. The dataset consists in 10 Markov Chain Monte Carlo simulations for 4 peptide sequences. Simulations were carried out with the CAMPARI 4.0 package using the ABSINTH implicit solvent model. The trajectory files store only C alpha coordinates.
| 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). | 0 | |
| 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 |
