For molecular modelers, understanding and efficiently utilizing molecule attributes is essential for precise design and analysis. SAMSON's integrative molecular design platform offers a powerful Node Specification Language (NSL) that simplifies working with such attributes. Let's explore how molecule attributes, along with their short names and examples, can help you tailor your modeling approaches.
What Are Molecule Attributes?
Molecule attributes in SAMSON are managed within the molecule attribute space, abbreviated as mol. These attributes allow modelers to select and refine molecule nodes easily. Attributes can be inherited from other spaces, such as node or structuralGroup, or may be exclusive to molecules. This organization ensures flexibility and precision for users dealing with molecular structures at various levels of complexity.
Inherited Attributes From the Node Space
Some key attributes inherited from the node space include:
- Visibility: Attributes like
mol.h(hidden) ormol.v(visible) are crucial when working with large structures where specific parts need to be hidden or displayed selectively. - Material Possession: The
mol.hm(hasMaterial) andmol.om(ownsMaterial) attributes allow you to filter molecules based on material assignment.
Example uses:
mol.h true: Matches molecules that are hidden.mol.vf false: Finds molecules where visibility flag is unset.
Attributes Unique to Molecules
One of the unique strengths of the molecule attribute space is its specific attributes that allow greater structural insights:
- Number of Chains (
mol.nc): Matches molecules with specific chain counts. For example,mol.nc < 3selects molecules with less than 3 chains, whilemol.nc 2:4limits the selection to chains between 2 and 4. - Number of Residues (
mol.nr): Useful when filtering by residue count. For instance,mol.nr > 130matches molecules with over 130 residues, optimizing workflows for protein modeling.
Inherited Attributes From Structural Groups
Molecules often derive additional properties from structural groups. These include:
- Number of Atoms (
mol.nat): Filters based on atom count, e.g.,mol.nat < 1000for smaller molecules ormol.nat 100:200for medium-sized structures. - Atom-Specific Counts: Attributes like
mol.nC(number of carbons) ormol.nH(number of hydrogens) enable element-specific modeling. Example:mol.nC 10:20identifies molecules with 10 to 20 carbon atoms. - Charge Data: Attributes such as
mol.fc(formalCharge) andmol.pc(partialCharge) refine molecule searches based on charge values. For instance,mol.pc > 1.5matches molecules with a partial charge above 1.5.
Why It Matters: Practical Applications
Understanding these attributes allows molecular modelers to:
- Save Time: Filter and target molecules more effectively.
- Enhance Precision: Focus on specific ranges of attributes, like number of atoms or chains, to optimize simulations.
- Streamline Collaboration: Share clearly defined molecular subsets with peers.
Examples From the Documentation
Here are some examples of how you can use these attributes:
mol.nN > 5: Matches molecules with more than 5 nitrogen atoms.mol.vf false: Filters out molecules marked as invisible.mol.nr 100:120: Targets molecules within a specific residue range.
These simple yet powerful queries grant modelers unparalleled control over their datasets, ensuring they can extract meaningful insights without unnecessary manual effort.
Learn More
The full range of molecule attributes can significantly enrich your molecular modeling toolbox. Familiarize yourself with these options to make your workflows faster, smarter, and more efficient. To explore the complete documentation on molecule attributes, click here.
SAMSON and all SAMSON Extensions are free for non-commercial use. You can download SAMSON at https://www.samson-connect.net.
