Abstract: The disclosed embodiments contemplate an electronic storage system able to be rapidly deployed and subsequently used to receive and organize data entries. The system comprises a knowledge schema able to organize entries into a coherent form facilitating revision and review. The system may be implemented across a computer network such that users from a variety of locations may asynchronously review and update the database.

Abstract: A computer implemented molecular modeler displays information concerning structural validity to the user. The display of information may be updated substantially continuously while the user modifies the molecular model. The display of information may comprise a color coded indicator and/or text associated with the atoms of the molecular model.

Abstract: Methods and systems of predicting binding affinity between a ligand and a receptor. In one embodiment, the predicted binding affinity (pKj) is determined by at least using a formula pKj=C0+C1*vdW+C2*Att_pol+C3*(Att_pol*Att_pol+Rep_pol*Rep_pol). vdW represents the van der Waals interaction energy between the ligand and the receptor. Att_pol represents the surface area of the ligand forming complimentary polar interactions with the receptor. Rep_pol represents the surface area of the ligand forming uncomplimentary polar interactions with the receptor. An improved process of calculating linear interpolation of grid-based vdW energy. A first non-linear function is transformed into a less non-linear second non-linear function to reduce the error in linear interpolation. A trilinear interpolation process is applied to the second non-linear function. The value obtained is reverse transformed to produce an estimated vdW energy.

Abstract: A computer implemented molecular modeler displays information concerning structural validity to the user. The display of information may be updated substantially continuously while the user modifies the molecular model. The display of information may comprise a color coded indicator and/or text associated with the atoms of the molecular model.

Abstract: Molecular modeling is performed using atomic parameters which include an anisotropic dipole polarizability tensor. Permanent atomic multipole parameters may also be included in the model. Energy evaluations including contributions from polarization energy and multipole interactions may be conducted which are useful in characterizing molecular properties for drug discovery, materials evaluation, and other applications.

Abstract: A method reduces the structure factor phase ambiguity corresponding to a selected reciprocal lattice vector. The method includes generating an original phase probability distribution corresponding to a selected structure factor phase of the selected reciprocal lattice vector. The original phase probability distribution includes a first structure factor phase ambiguity. The method further includes combining the original phase probability distribution with a plurality of phase probability distributions of a plurality of structure factor phases of other reciprocal lattice vectors using a phase equation or inequality. The phase equation or inequality defines a mathematical relationship between the selected structure factor phase of the selected reciprocal lattice vector and the plurality of structure factor phases of other reciprocal lattice vectors. The method further includes producing a resultant phase probability distribution for the selected structure factor phase of the selected reciprocal lattice vector.

Abstract: A method uses linear prediction analysis to define a first structure factor component for a first reflection from x-ray crystallography data. The x-ray crystallography data includes a set of cognizable reflections. The method includes expressing the first structure factor component as a first linear equation in which the first structure factor component is equal to a sum of a first plurality of terms. Each term includes a product of (1) a structure factor component for a cognizable reflection from the x-ray crystallography data, wherein the cognizable reflection has a separation in reciprocal space from the first reflection, and (2) a linear prediction coefficient corresponding to the separation between the cognizable reflection and the first reflection. The method further includes calculating values for the linear prediction coefficients.