TY - GEN
T1 - Neural network pairwise interaction fields for protein model quality assessment
AU - Martin, Alberto J.M.
AU - Vullo, Alessandro
AU - Pollastri, Gianluca
PY - 2009
Y1 - 2009
N2 - We present a new knowledge-based Model Quality Assessment Program (MQAP) at the residue level which evaluates single protein structure models. We use a tree representation of the C α trace to train a novel Neural Network Pairwise Interaction Field (NN-PIF) to predict the global quality of a model. We also attempt to extract local quality from global quality. The model allows fast evaluation of multiple different structure models for a single sequence. In our tests on a large set of structures, our model outperforms most other methods based on different and more complex protein structure representations in both local and global quality prediction. The method is available upon request from the authors. Method-specific rankers may also built by the authors upon request.
AB - We present a new knowledge-based Model Quality Assessment Program (MQAP) at the residue level which evaluates single protein structure models. We use a tree representation of the C α trace to train a novel Neural Network Pairwise Interaction Field (NN-PIF) to predict the global quality of a model. We also attempt to extract local quality from global quality. The model allows fast evaluation of multiple different structure models for a single sequence. In our tests on a large set of structures, our model outperforms most other methods based on different and more complex protein structure representations in both local and global quality prediction. The method is available upon request from the authors. Method-specific rankers may also built by the authors upon request.
UR - http://www.scopus.com/inward/record.url?scp=72449172541&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-11169-3_17
DO - 10.1007/978-3-642-11169-3_17
M3 - Conference contribution
AN - SCOPUS:72449172541
SN - 3642111688
SN - 9783642111686
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 235
EP - 248
BT - Learning and Intelligent Optimization - Third International Conference, LION 3, Selected Papers
T2 - 3rd International Conference on Learning and Intelligent Optimization, LION 3
Y2 - 14 January 2009 through 18 January 2009
ER -