The endless search for primality

  title={The endless search for primality},
  author={John Royden Maddox},
Is there more to the continuing search for prime numbers than the curiosity that sustains the enthusiasm of stamp-collectors? The discovery of the largest so far (at Harwell in Britain and by Cray Research) refers. 
7 Citations

A Graph Theoretic Approach to Protein Structure Selection

A new approach to PSS is presented which does not take advantage of the knowledge of the primary structure of the protein but only depends on the graph theoretic properties of the decoys graphs and experimental results show that some of the adopted graph properties score similarly to energy-based filtering functions in selecting the best decoys.

Can correct protein models be identified?

ProQ is developed, a neural‐network‐based method to predict the quality of a protein model that extracts structural features, such as frequency of atom–atom contacts, and predicts thequality of a model, as measured either by LGscore or MaxSub, and shows that ProQ performs at least as well as other measures when identifying the native structure and is better at the detection of correct models.

Model quality assessment for membrane proteins

This work shows that it is possible to improve performance significantly by restricting the learning space to a specific context, in this case membrane proteins, and shows that the combination of ProQM and the Rosetta low-resolution energy function achieve a 7-fold enrichment in selection of near-native structural models, at very limited computational cost.

Prediction of global and local model quality in CASP7 using Pcons and ProQ

The result shows that the MQAP using consensus, Pcons, was significantly better at predicting both global and local quality compared with MqAPs using only structure or sequence based information.

Improved model quality assessment using ProQ2

ProQ2 is significantly better than its predecessors at detecting high quality models, improving the sum of Z-scores for the selected first-ranked models by 20% and 32% compared to the second-best single-model method in CASP8 and CASP9, respectively.