Sentence examples for molecular objects from inspiring English sources

are called molecular objects (referred as MOs).

The PyGetMol module is responsible for obtaining and reading various molecular objects, and it contains three functions for downloading molecular objects (Getmol, GetProtein, GetDNA) and various functions for reading molecular objects.

The check and preprocessing for various molecular objects is of high importance for subsequent descriptor calculation and data analysis, especially those molecular objects from web sources.

For each pair of connected molecular objects, there is a record in the adjacency.

A component physically contains all the properties of a kind of molecular objects.

The modules allow the users to get various molecular objects by different ways, pretreat these molecular objects, and finally calculate chemical descriptors, protein descriptors, DNA descriptors and interaction descriptors by different functionalities.

Another way to enumerate MOs is to use MORANGE (molecular object range, represented by class range_T).

Secondly, the molecular structures or sequences of another molecular object from interaction data are provided to calculate the corresponding molecular features.

The following two member functions of class molecule_t return the starting and ending iterators of a certain type of MO: iter_t xxxx_begin ; iter_t xxxx_end; Here, xxxx could be any of the eight 4 character ID of a molecular object type.

As the number of generations of DPs becomes smaller, the molecular object is less well described by a square box radial distribution of density and modulus.

To calculate the latter two surfaces the protein and DNA are each copied to a new molecular object (isolated), prior to SASA estimation.