Pcons.net is a premier platform dedicated to protein structure prediction and model quality assessment. It serves as a meta server for Pcons and Pmodeller, offering researchers essential tools for evaluating and ranking protein models based on their structural quality. Utilizing a sophisticated algorithm, Pcons assesses a set of protein models by identifying recurring three-dimensional structural patterns, thereby assigning scores that indicate both overall global quality and the localized quality for individual residues.

With advanced methodologies supported by the EGI FedCloud, Pcons provides cutting-edge computational resources to enhance model accuracy. The Pcons protocol not only ranks models effectively but also employs an updated scoring system that reflects the number of correct residues, making it a vital resource for scientists in the field. Pcons has been recognized for its excellence, having ranked as the top model quality assessment tool during both CASP7 and CASP8 competitions. By leveraging these capabilities, Pcons helps researchers make informed decisions in protein modeling and structural biology.