Downloads provided by UsageCounts
This dataset contains two sets of deep ResNet models for RaptorX-3DModeling. One set of models is used for the prediction of backbone phi/psi angles, secondary structure and solvent accessibility and the other set of models is used for the prediction of inter-atom contact, distance and orientation probability distribution. The RaptorX-3DModeling package itself is available at https://github.com/j3xugit/RaptorX-3DModeling/ . Compared to the deep model set at https://data.mendeley.com/datasets/5dj63g5xdv/1, this dataset has 4 more deep models for secondary structure and solvent accessibility prediction. Meanwhile. RXDeepModels4DistOri-FM.tar.gz is used for inter-residue (atom) contact/distance/orientation prediction and RXDeepModels4Property.tar.gz is used for phi/psi angle, secondary structure (3-class and 8-class) and solvent accessibility prediction.
{"references": ["https://www.biorxiv.org/content/10.1101/2020.10.12.336859v1"]}
Protein structure prediction, deep learning
Protein structure prediction, deep learning
| 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 |
| views | 23 | |
| downloads | 21 |

Views provided by UsageCounts
Downloads provided by UsageCounts