@article {43,
	title = {New tools and expanded data analysis capabilities at the Protein Structure Prediction Center.},
	journal = {Proteins},
	volume = {69 Suppl 8},
	year = {2007},
	month = {2007},
	pages = {19-26},
	abstract = {We outline the main tasks performed by the Protein Structure Prediction Center in support of the CASP7 experiment and provide a brief review of the major measures used in the automatic evaluation of predictions. We describe in more detail the software developed to facilitate analysis of modeling success over and beyond the available templates and the adopted Java-based tool enabling visualization of multiple structural superpositions between target and several models/templates. We also give an overview of the CASP infrastructure provided by the Center and discuss the organization of the results web pages available through http://predictioncenter.org.},
	keywords = {Computational Biology, Internet, Models, Molecular, Protein Conformation, Protein Folding, Proteins, Software, Structure-Activity Relationship},
	issn = {1097-0134},
	doi = {10.1002/prot.21653},
	author = {Kryshtafovych, Andriy and Prlic, Andreas and Dmytriv, Zinoviy and Daniluk, Pawe{\l} and Milostan, Maciej and Eyrich, Volker and Hubbard, Tim and Fidelis, Krzysztof}
}
@article {52,
	title = {Two novel presenilin 1 gene mutations connected with frontotemporal dementia-like clinical phenotype: genetic and bioinformatic assessment.},
	journal = {Experimental neurology},
	volume = {200},
	year = {2006},
	month = {2006 Jul},
	pages = {82-8},
	abstract = {Mutations in the amyloid precursor protein (APP), presenilin 1 (PSEN1) and presenilin 2 (PSEN2) genes are associated with early-onset familial Alzheimer{\textquoteright}s disease (EOAD). There are several reports describing mutations in PSEN1 in cases with frontotemporal dementia (FTD). We identified two novel mutations in the PSEN1 gene: L226F and L424H. The first mutation was detected in a patient with a clinical diagnosis of FTD and a post-mortem diagnosis of AD. The second mutation is connected with a clinical phenotype of variant AD with strong FTD signs. In silico modeling revealed that the mutations, as well as mutations used for comparison (F177L and L424R), change the local structure, stability and/or properties of the transmembrane regions of the presenilin 1 protein (PS1). In contrast, a silent non-synonymous substitution F175S is eclipsed by external residues and has no influence on PS1 interfacial surface. We suggest that in silico analysis of PS1 substitutions can be used to characterize novel PSEN1 mutations, to discriminate between silent polymorphisms and a potential disease-causing mutation. We also propose that PSEN1 mutations should be considered in FTD patients with no MAPT mutations.},
	keywords = {Adult, Computational Biology, Dementia, Diagnosis, Differential, Female, Genetic Testing, Humans, Male, Membrane Proteins, Models, Molecular, Mutation, Phenotype, Presenilin-1},
	issn = {0014-4886},
	doi = {10.1016/j.expneurol.2006.01.022},
	author = {Zekanowski, Cezary and Golan, Maciej P and Krzy{\'s}ko, Krystiana A and Lipczy{\'n}ska-{\L}ojkowska, Wanda and Filipek, S{\l}awomir and Kowalska, Anna and Rossa, Grzegorz and Pep{\l}o{\'n}ska, Beata and Styczy{\'n}ska, Maria and Maruszak, Aleksandra and Religa, Dorota and Wender, Mieczys{\l}aw and Kulczycki, Jerzy and Barcikowska, Maria and Ku{\'z}nicki, Jacek}
}
@article {44,
	title = {CASP6 data processing and automatic evaluation at the protein structure prediction center.},
	journal = {Proteins},
	volume = {61 Suppl 7},
	year = {2005},
	month = {2005},
	pages = {19-23},
	abstract = {We present a short overview of the system governing data processing and automatic evaluation of predictions in CASP6, implemented at the Livermore Protein Structure Prediction Center. The system incorporates interrelated facilities for registering participants, collecting prediction targets from crystallographers and NMR spectroscopists and making them available to the CASP6 participants, accepting predictions and providing their preliminary evaluation, and finally, storing and visualizing results. We have automatically evaluated predictions submitted to CASP6 using criteria and methods developed over the successive CASP experiments. Also, we have tested a new evaluation technique based on non-rigid-body type superpositions. Approximately the same number of predictions has been submitted to CASP6 as to all previous CASPs combined, making navigation through and understanding of the data particularly challenging. To facilitate this, we have substantially modernized all data handling procedures, including implementation of a dedicated relational database. An overview of our redesigned website is also presented (http://predictioncenter.org/casp6/).},
	keywords = {Algorithms, Automation, Computational Biology, Crystallography, X-Ray, Internet, Magnetic Resonance Spectroscopy, Models, Molecular, Protein Conformation, Protein Folding, Protein Structure, Secondary, Protein Structure, Tertiary, Proteins, Proteomics, Software},
	issn = {1097-0134},
	doi = {10.1002/prot.20718},
	author = {Kryshtafovych, Andriy and Milostan, Maciej and Szajkowski, Lukasz and Daniluk, Pawe{\l} and Fidelis, Krzysztof}
}
