[PDF] Automated protein structure solution for weak SAD data



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CCPA V40 Upgrade - Environmental Modeling Center

• Update regression coefficients by extending training data sets of CPC gauge based analysis and Stage IV multi-sensor estimation • Current: 13 years (2002-2015) • Upgrade: 15 years (2002-2017) • Expectation: improved analysis with expanded training data sets • Improve 3-hourly CCPA by using Stage IV hourly data in the



CCPA V40 Upgrade - Environmental Modeling Center

Updating Regression Coefficients 1 Historical data sets Operational : June 1 2002 to July 31 2015 For CPC and Stage IV Updated: June 1 2002 to July 31 2017 (two more years of data) 2 Match resolutions a Accumulate Stage IV (hereafter ST4) over 24 hours b Interpolate to ⅛° (copygb w/ volume preservation) 3 Collect precip samples a



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absorption coefficients e g apoferritin: 0 406mm-1 holoferritin: 1 133mm-1 Crystal size Solvent content Calculation of absorption coefficients Heavy atoms, S, etc No of molecules per unit cell No residues 5C + 1 35N + 1 5O + 8H



Automated protein structure solution for weak SAD data

References Crank Ness et al (2004) Structure 12, 1753-1761 Pannu et al (2011) Acta Cryst D67, 331-337 Combined approach and Crank2



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Design and develop a flowchart or an algorithm that takes three coefficients (a, b, and c) of a Quadratic equation (ax2+bx+c=0) as input and compute all possible roots Implement a C program for the developed flowchart/algorithm and execute the same to output the possible roots for a given set of coefficients with appropriate messages



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