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src/p/e/PEATDB-2.3/PEATDB/plugins/KineticsAnalysis.py   PEATDB(Download)
            #get slope at chosen [S] to use for alternate kcat/km value
            #we check that it's less than km at this [S]
            ekd = E.getDataset(d)
            kslope1 = ekd.getYVal(4) #0.025
            kslope2 = ekd.getYVal(5) #0.05
                E.openProject(os.path.join(self.path, name.replace(' ','')+'_'+str(r)))
                for k in kd:
                    edata = E.getDataset(k)
                    fdata = E.getFitData(k)
                    kd[k].insertDataset(edata, name+'_'+str(r))
            #print d, ferrs
            slope = E.getMetaData(d)['a']
            ek=EkinDataset(E.getDataset(d))
            Yvals = ek.getY()
            yrange = max(Yvals)-min(Yvals)
        Amax = 0
        for d in E.datasets:
            x,y,a = EkinConvert.ekin2xy(E.getDataset(d))
            if max(y) > Amax:
                Amax = max(y)
        print 'Amax', Amax
        for d in E.datasets:
            x,y,a = EkinConvert.ekin2xy(E.getDataset(d))

src/p/e/PEATDB-2.3/PEATDB/Ekin/Titration.py   PEATDB(Download)
            for d in E.datasets:
                if residues != None:
                    ed = E.getDataset(d)
                    #resdata = cls.getResidueFields(ed)
                    resdata = E.getMetadata(d)
                if d in cls.excluded or not d in E2.datasets:
                    continue
                d1 = E1.getDataset(d)
                d2 = E2.getDataset(d)
                print name