Ejemplo n.º 1
0
    def assign_models(self, molecule=None):
        """
        Create SASModels from pdb files saved in self.inputfiles and saved them in self.models.
        Center of mass, inertia tensor and canonical parameters are computed for each SASModel.

        :param molecule: optional 2d array, coordinates of the atoms for the model to create
        :return self.models: list of SASModel
        """
        if not self.inputfiles and len(molecule) == 0:
            logger.error("No input files")

        if self.inputfiles:
            for inputpdb in self.inputfiles:
                model = SASModel()
                model.read(inputpdb)
                model.centroid()
                model.inertiatensor()
                model.canonical_parameters()
                self.sasmodels.append(model)
            if len(self.inputfiles) != len(self.sasmodels):
                logger.error("Problem of assignment\n%s models for %s files" % (len(self.sasmodels), len(self.inputfiles)))

        elif len(molecule) != 0:
            model = SASModel()
            model.atoms = molecule
            model.centroid()
            model.inertiatensor()
            model.canonical_parameters()
            self.sasmodels.append(model)

        return self.sasmodels
Ejemplo n.º 2
0
    def assign_models(self, molecule=None):
        """
        Create SASModels from pdb files saved in self.inputfiles and saved them in self.models.
        Center of mass, inertia tensor and canonical parameters are computed for each SASModel.

        :param molecule: optional 2d array, coordinates of the atoms for the model to create
        :return self.models: list of SASModel
        """
        if not self.inputfiles and len(molecule) == 0:
            logger.error("No input files")

        if self.inputfiles:
            for inputpdb in self.inputfiles:
                model = SASModel()
                model.read(inputpdb)
                model.centroid()
                model.inertiatensor()
                model.canonical_parameters()
                self.sasmodels.append(model)
            if len(self.inputfiles) != len(self.sasmodels):
                logger.error("Problem of assignment\n%s models for %s files" %
                             (len(self.sasmodels), len(self.inputfiles)))

        elif len(molecule) != 0:
            model = SASModel()
            model.atoms = molecule
            model.centroid()
            model.inertiatensor()
            model.canonical_parameters()
            self.sasmodels.append(model)

        return self.sasmodels
Ejemplo n.º 3
0
    def assign_models(self):
        """
        Create SASModels from pdb files saved in self.inputfiles and saved them in self.models.
        Center of mass, inertia tensor and canonical parameters are computed for each SASModel.

        :return self.models: list of SASModel
        """
        for inputpdb in self.inputfiles:
            model = SASModel()
            model.read(inputpdb)
            model.centroid()
            model.inertiatensor()
            model.canonical_parameters()
            self.models.append(model)
        if len(self.inputfiles) != len(self.models):
            logger.error("Problem of assignment\n%s models for %s files" % (len(self.models), len(self.inputfiles)))

        return self.models
Ejemplo n.º 4
0
    def assign_models(self):
        """
        Create SASModels from pdb files saved in self.inputfiles and saved them in self.models.
        Center of mass, inertia tensor and canonical parameters are computed for each SASModel.

        :return self.models: list of SASModel
        """
        for inputpdb in self.inputfiles:
            model = SASModel()
            model.read(inputpdb)
            model.centroid()
            model.inertiatensor()
            model.canonical_parameters()
            self.models.append(model)
        if len(self.inputfiles) != len(self.models):
            logger.error("Problem of assignment\n%s models for %s files" %
                         (len(self.models), len(self.inputfiles)))

        return self.models