Consensus analysis

Paul, N. and Rognan, D. (2002) ConsDock a new program for the consensus analysis of protein-ligand interactions. Proteins Struct. Fund. Gen. 47, 521-533. 

Paul, N., Rognan, D., ConsDock A New Program for the Consensus Analysis of Protein-Ligand Interactions, Proteins... 

Fig. 10. CONSENSUS/SNORKEL analyses of classes Aa. A,. G , and Y. (A) CON-SENSUS/SNORKEL analysis of class Aa (B) CONSENSUS/SNORKEL analysis of class A i (C) CONSENSUS analysis of class G (D) CONSENSUS/SNORKEL analysis of class Y.

Finally, a consensus analysis using the two approaches (Raptor and Quasar) was achieved as, on average, the calculated activities of the training set differ by a factor 2.2 in K, and those of the test set by a factor 2.8 when predicted by Quasar and Raptor, respectively. It is important to note this size of deviation corresponds to the uncertainties in the underlying biological assays. Employing two different concepts for the prediction of binding affinities... 

CMDand CMCindicescanbeusefulintheevaluationofthediversityof —> chemical spaces in molecule library design, in selecting the optimal number of significant principal components in PCA, and in selecting the most diverse QSAR models for —> consensus analysis. 

Applications of consensus analysis are discussed in Refs. [Asikainen, Ruuskanen et al, 2004 Baurin, Mozziconacci et al, 2004 Godden, Furr et al, 2004 Gramatica, Pilutti et al, 2004a ... 

The main goal of validation techniques is to select (to find) the model(s) with the best predictive ability to allow a real use of the model(s) for future predictions. It should be noted that, when more than one final model is selected by using variable selection techniques able to produce a set of possibly reliable models, consensus analysis allows the contemporary use of all the selected models. 

The Mark-I analysis (NUREG/CR-6025) was controversial and manifested prior polarisation, Follow-up work was carried out at RPI (on melt release scenarios), ANL (on spreading), SNL (on coriumconcrete interactions), and ANATECH (on liner structural failure by creep) resulted in a consensus (NUREG/CR-6025). 

This analysis forms the basis of a widely used industry consensus standard, American Petroleum Institute, Recommended Practice 14C, Analysis, Design, Installation, and Testing of Basic Surface Systems for Ofi- i orc Production Platforms (RP14C), which contains a procedure tor dcicnniniiig required process safety devices and shutdowns. The procedures ilescribed here can be used to develop checklists for devices not covered by RP14C or to modify the consensus checklists presented in RP14C in areas of the world where RPI4C is not mandated. 

While RP14C provides guidance on the need for process safety devices, it is desirable to perform a complete hazards analysis of tlie facility to identify hazards that are not necessarily detected or contained by process sLifety devices and that could lead to loss of containment of hydrocarbons or otherwise lead to fire, explosion, pollution, or injury to personnel. The industry consensus standard, American Petroleum Institute Recommended Practice 14J, Design and Hazards Analysis for Offshore Facilities (RP14J), provides guidance as to the use of various hazards analysis techniques. 

The modified FMEA approach has been used by the API to develop RP14C. In this document ten different process components have been analyzed and a Safety Analysis Table (SAT) has been developed for each component. A sample SAT for a pressure vessel is shown in Table 14-4. The fact that Tables 14-3 and 14-4 are not identical is due to both the subjective natures of a Hazard Analysis and FMEA, and to the fact that RP14C is a consensus standard. However, although the rationale differs somewhat, the devices required are identical. (The gas make-up system in Table 14-4 is not really required by RP14C, as we shall see.)... 

Giordano R, Passarella G, Uricchio VF, Vurro M (2007) Integrating conflict analysis and consensus reaching in a decision support system for water resource management. J Environ... 

The DNA sequence analysis of specific genes has allowed the recognition of a number of sequences important in gene transcription. From the large number of bacterial genes smdied it is possible to construct consensus models of transcription initiation and termination signals. 

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