SOLart is a fast and accurate method for predicting the protein solubility of a target protein whose experimental or modeled structure is available. It yields a scaled solubility score with values close to zero indicating aggregate-prone proteins, while values close to 130 designate soluble proteins.

The input information required by SOLart is the protein structure that is uploaded either manually by the user or automatically from the Protein Data Bank. Using the solubility-dependent potentials that we recently introduced and a few sequence-based features, SOLart computes the solubility score in a few minutes.

The core of the webserver consists of a Query page where the user submits the necessary information about the target protein and a Results page in which the values of the solubility and a graphical illustration of the values of the four most important features of the SOLart prediction model are shown. In addition, there is a Help page with information about the queries, calculations, results and perspectives.

1) Q. Hou, R. Bourgeas, F. Pucci, M. Rooman (2018), Computational analysis of the amino acid interactions that promote or decrease protein solubility, Scientific Reports 8, 14661.

2) Q. Hou, J.M. Kwasigroch, M. Rooman, F. Pucci (2020), SOLart : a structure-based method to predict protein solubility, Bioinformatics 36, 1445-1452.