MEDLA assembler method

The application of the additive fuzzy electron density fragments for the building of electron densities of large molecules is called the Molecular Electron Density Lego Assembler method, or MEDLA method [5,37,66,67,70-72],... 

The MEDLA (molecular electron density loge assembler, or molecular electron density Lego assembler) method is a numerical technique, based on the AFDF principle, on a numerical electron density fragment databank, and on the direct assembly of numerical electron density fragments into a macromolecular electron density. 

The additive fuzzy electron density fragmentation scheme of Mezey is the basis of the Molecular Electron Density Lego Assembler (MEDLA) method [67,70-72], reviewed in section 4. of this report, where additional details and applications in local shape analysis are discussed. The MEDLA method was used for the generation of the first ab initio quality electron densities for macromolecules such as proteins [71,72] and other natural products such as taxol [66],... 

Electron density decreases exponentially with distance that suggests that an Additive Fuzzy Density Fragmentation (AFDF) approach can be used for both a fuzzy decomposition and construction of molecular electron densities. The simplest AFDF technique is the Mulliken-Mezey density matrix fragmentation [12,13], that is the basis of both the Molecular Electron Density Loge Assembler (MEDLA) [14-17] and the Adjustable Density Matrix Assembler (ADMA) [18-21] macromolecular quantum chemistry methods. 

Matrix Assembler (ADMA) method [18-21] generates a macromolecular density matrix P((p(K)) that can be used for the computation of a variety of molecular properties besides ab initio quality macromolecular electron densities. In electron density computations the accuracy of the ADMA macromolecular density matrix P(cp(K)) corresponds to that of a MEDLA result of an infinite resolution numerical grid. 

Some recent developments concerning macromolecular quantum chemistry, especially the first linear-scaling method applied successfully for the ab initio quality quantum-chemistry computation of the electron density of proteins, have underlined the importance and the applicability of quantum chemistry-based approaches to molecular similarity. These methods, the linear-scaling numerical Molecular Electron Density Lego Approach (MEDLA) method [6 9] and the more advanced and more generally applicable linear-scaling macromolecular density matrix method called Adjustable Density Matrix Assembler or ADMA method [10,11], have been employed for the calculation of ab initio quality protein electron densities and other... 

ADMA = adjustable density matrix assembler AFDF = additive fiizzy density fragmentation GSTE = geometrical similarity as topological equivalence MEDLA = molecular electron density loge assembler MEP = molecular electrostatic potential RBSM = resolution-based similarity measures SGM = shape group methods VDWS = van der Waals surface ID, 2D, 3D = one, two, and three dimensions. 

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