SAMSON

Last updated
SAMSON
Developer(s) OneAngstrom
Stable release
SAMSON 2023 / 2023
Written in C++ (Qt)
Operating system Windows, macOS, Linux
Platform x86, x86-64
Available inEnglish
Type Molecular design
License Proprietary [1]
Website www.samson-connect.net

SAMSON (Software for Adaptive Modeling and Simulation Of Nanosystems) is a computer software platform for molecular design being developed by OneAngstrom and previously by the NANO-D group at the French Institute for Research in Computer Science and Automation (INRIA). [2]

Contents

SAMSON has a modular architecture that makes it suitable for different domains of nanoscience, including material science, [3] life science, [4] and drug design [5] . [6] [7] [8] [9] [10] [11]

SAMSON Elements

SAMSON Elements are modules for SAMSON, developed with the SAMSON software development kit (SDK). SAMSON Elements help users perform tasks in SAMSON, including building new models, performing calculations, running interactive or offline simulations, and visualizing and interpreting results.

SAMSON Elements may contain different class types, including for example:

SAMSON Elements expose their functions to SAMSON and other Elements through an introspection mechanism, and may thus be integrated and pipelined.

Modeling and simulation

SAMSON represents nanosystems using five categories of models:

Simulators (potentially interactive ones) are used to build physically-based models, and predict properties.

Data graph

All models and simulators are integrated into a hierarchical, layered structure that form the SAMSON data graph. SAMSON Elements interact with each other and with the data graph to perform modeling and simulation tasks. A signals and slots mechanism makes it possible for data graph nodes to send events when they are updated, which makes it possible to develop e.g., adaptive simulation algorithms. [12] [13] [14]

Node specification language

SAMSON has a node specification language (NSL) that users may employ to select data graph nodes based on their properties. Example NSL expressions include:

Features

SAMSON is developed in C++ and implements many features to ease developing SAMSON Elements, including:

SAMSON Connect

SAMSON, SAMSON Elements and the SAMSON Software Development Kit are distributed via the SAMSON Connect website. [6] The site acts as a repository for the SAMSON Elements being uploaded by developers, and users of SAMSON choose and add Elements from SAMSON Connect.

See also

Related Research Articles

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An alpha helix is a sequence of amino acids in a protein that are twisted into a coil.

<span class="mw-page-title-main">Molecule</span> Electrically neutral group of two or more atoms

A molecule is a group of two or more atoms held together by attractive forces known as chemical bonds; depending on context, the term may or may not include ions which satisfy this criterion. In quantum physics, organic chemistry, and biochemistry, the distinction from ions is dropped and molecule is often used when referring to polyatomic ions.

<span class="mw-page-title-main">Molecular dynamics</span> Computer simulations to discover and understand chemical properties

Molecular dynamics (MD) is a computer simulation method for analyzing the physical movements of atoms and molecules. The atoms and molecules are allowed to interact for a fixed period of time, giving a view of the dynamic "evolution" of the system. In the most common version, the trajectories of atoms and molecules are determined by numerically solving Newton's equations of motion for a system of interacting particles, where forces between the particles and their potential energies are often calculated using interatomic potentials or molecular mechanical force fields. The method is applied mostly in chemical physics, materials science, and biophysics.

GROningen MOlecular Simulation (GROMOS) is the name of a force field for molecular dynamics simulation, and a related computer software package. Both are developed at the University of Groningen, and at the Computer-Aided Chemistry Group at the Laboratory for Physical Chemistry at the Swiss Federal Institute of Technology (ETH Zurich). At Groningen, Herman Berendsen was involved in its development.

<span class="mw-page-title-main">Molecular mechanics</span> Use of classical mechanics to model molecular systems

Molecular mechanics uses classical mechanics to model molecular systems. The Born–Oppenheimer approximation is assumed valid and the potential energy of all systems is calculated as a function of the nuclear coordinates using force fields. Molecular mechanics can be used to study molecule systems ranging in size and complexity from small to large biological systems or material assemblies with many thousands to millions of atoms.

<span class="mw-page-title-main">Kinemage</span>

A kinemage is an interactive graphic scientific illustration. It often is used to visualize molecules, especially proteins although it can also represent other types of 3-dimensional data. The kinemage system is designed to optimize ease of use, interactive performance, and the perception and communication of detailed 3D information. The kinemage information is stored in a text file, human- and machine-readable, that describes the hierarchy of display objects and their properties, and includes optional explanatory text. The kinemage format is a defined chemical MIME type of 'chemical/x-kinemage' with the file extension '.kin'.

<span class="mw-page-title-main">Visual Molecular Dynamics</span> Visualization and modelling software

Visual Molecular Dynamics (VMD) is a molecular modelling and visualization computer program. VMD is developed mainly as a tool to view and analyze the results of molecular dynamics simulations. It also includes tools for working with volumetric data, sequence data, and arbitrary graphics objects. Molecular scenes can be exported to external rendering tools such as POV-Ray, RenderMan, Tachyon, Virtual Reality Modeling Language (VRML), and many others. Users can run their own Tcl and Python scripts within VMD as it includes embedded Tcl and Python interpreters. VMD runs on Unix, Apple Mac macOS, and Microsoft Windows. VMD is available to non-commercial users under a distribution-specific license which permits both use of the program and modification of its source code, at no charge.

A chemical file format is a type of data file which is used specifically for depicting molecular data. One of the most widely used is the chemical table file format, which is similar to Structure Data Format (SDF) files. They are text files that represent multiple chemical structure records and associated data fields. The XYZ file format is a simple format that usually gives the number of atoms in the first line, a comment on the second, followed by a number of lines with atomic symbols and cartesian coordinates. The Protein Data Bank Format is commonly used for proteins but is also used for other types of molecules. There are many other types which are detailed below. Various software systems are available to convert from one format to another.

Nuclear magnetic resonance spectroscopy of proteins is a field of structural biology in which NMR spectroscopy is used to obtain information about the structure and dynamics of proteins, and also nucleic acids, and their complexes. The field was pioneered by Richard R. Ernst and Kurt Wüthrich at the ETH, and by Ad Bax, Marius Clore, Angela Gronenborn at the NIH, and Gerhard Wagner at Harvard University, among others. Structure determination by NMR spectroscopy usually consists of several phases, each using a separate set of highly specialized techniques. The sample is prepared, measurements are made, interpretive approaches are applied, and a structure is calculated and validated.

The Protein Data Bank (PDB) file format is a textual file format describing the three-dimensional structures of molecules held in the Protein Data Bank, now succeeded by the mmCIF format. The PDB format accordingly provides for description and annotation of protein and nucleic acid structures including atomic coordinates, secondary structure assignments, as well as atomic connectivity. In addition experimental metadata are stored. The PDB format is the legacy file format for the Protein Data Bank which has kept data on biological macromolecules in the newer PDBx/mmCIF file format since 2014.

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<span class="mw-page-title-main">Biomolecular structure</span> 3D conformation of a biological sequence, like DNA, RNA, proteins

Biomolecular structure is the intricate folded, three-dimensional shape that is formed by a molecule of protein, DNA, or RNA, and that is important to its function. The structure of these molecules may be considered at any of several length scales ranging from the level of individual atoms to the relationships among entire protein subunits. This useful distinction among scales is often expressed as a decomposition of molecular structure into four levels: primary, secondary, tertiary, and quaternary. The scaffold for this multiscale organization of the molecule arises at the secondary level, where the fundamental structural elements are the molecule's various hydrogen bonds. This leads to several recognizable domains of protein structure and nucleic acid structure, including such secondary-structure features as alpha helixes and beta sheets for proteins, and hairpin loops, bulges, and internal loops for nucleic acids. The terms primary, secondary, tertiary, and quaternary structure were introduced by Kaj Ulrik Linderstrøm-Lang in his 1951 Lane Medical Lectures at Stanford University.

Sirius is a molecular modelling and analysis system developed at San Diego Supercomputer Center. Sirius is designed to support advanced user requirements that go beyond simple display of small molecules and proteins. Sirius supports high quality interactive 3D graphics, structure building, displaying protein or DNA primary sequences, access to remote data sources, and visualizing molecular dynamics trajectories. It can be used for scientific visualization and analysis, and chemistry and biology instruction.

In the fields of chemical graph theory, molecular topology, and mathematical chemistry, a topological index, also known as a connectivity index, is a type of a molecular descriptor that is calculated based on the molecular graph of a chemical compound. Topological indices are numerical parameters of a graph which characterize its topology and are usually graph invariant. Topological indices are used for example in the development of quantitative structure-activity relationships (QSARs) in which the biological activity or other properties of molecules are correlated with their chemical structure.

The Asx turn is a structural feature in proteins and polypeptides. It consists of three amino acid residues in which residue i is an aspartate (Asp) or asparagine (Asn) that forms a hydrogen bond from its sidechain CO group to the mainchain NH group of residue i+2. About 14% of Asx residues present in proteins belong to Asx turns.

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LiSiCA is a ligand-based virtual screening software that searches for 2D and 3D similarities between a reference compound and a database of target compounds which should be represented in a Mol2 format. The similarities are expressed using the Tanimoto coefficients and the target compounds are ranked accordingly. LiSiCA is also available as LiSiCA PyMOL plugin both on Linux and Windows operating systems.

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<span class="mw-page-title-main">Backbone-dependent rotamer library</span> Collection of data on conformations of a given proteins amino acid side chains

In biochemistry, a backbone-dependent rotamer library provides the frequencies, mean dihedral angles, and standard deviations of the discrete conformations of the amino acid side chains in proteins as a function of the backbone dihedral angles φ and ψ of the Ramachandran map. By contrast, backbone-independent rotamer libraries express the frequencies and mean dihedral angles for all side chains in proteins, regardless of the backbone conformation of each residue type. Backbone-dependent rotamer libraries have been shown to have significant advantages over backbone-independent rotamer libraries, principally when used as an energy term, by speeding up search times of side-chain packing algorithms used in protein structure prediction and protein design.

References

  1. "Terms of use". SAMSON Connect. Retrieved 2020-05-30.
  2. NANO-D - INRIA
  3. Contreras, M. Leonor; Villarroel, Ignacio; Rozas, Roberto (2021). "Automated Generation of Zigzag Carbon Nanotube Models Containing Haeckelite Defects". Intelligent Computing. Lecture Notes in Networks and Systems. Vol. 284. pp. 371–377. doi:10.1007/978-3-030-80126-7_28. ISBN   978-3-030-80125-0. S2CID   238030853.
  4. Mostafa, Amr A.; El-Rahman, Soheir N. Abd; Shehata, Said; Abdallah, Naglaa A.; Omar, Hanaa S. (2021). "Assessing the effects of a novel biostimulant to enhance leafminer resistance and plant growth on common bean". Scientific Reports. 11 (1): 20020. doi:10.1038/s41598-021-98902-z. PMC   8501134 . PMID   34625596.
  5. Barazorda-Ccahuana, Haruna Lux; Nedyalkova, Miroslava; Mas, Francesc; Madurga, Sergio (2021). "Unveiling the Effect of Low pH on the SARS-CoV-2 Main Protease by Molecular Dynamics Simulations". Polymers. 284 (21): 3823. doi: 10.3390/polym13213823 . hdl: 2445/182421 . PMID   34771379.
  6. 1 2 SAMSON Connect
  7. SAMSON 0.7.0 is available - Macs in Chemistry
  8. RDKit in SAMSON - Macs in Chemistry
  9. Vaucher, Alain C.; Reiher, Markus (2016). "Molecular Propensity as a Driver for Explorative Reactivity Studies". Journal of Chemical Information and Modeling. 56 (8): 1470–1478. arXiv: 1604.06748 . doi:10.1021/acs.jcim.6b00264. PMID   27447367. S2CID   3549945.
  10. Vaucher, Alain C.; Reiher, Markus (2017). "Steering Orbital Optimization out of Local Minima and Saddle Points Toward Lower Energy". Journal of Chemical Theory and Computation. 13 (3): 1219–1228. arXiv: 1701.00128 . doi:10.1021/acs.jctc.7b00011. PMID   28207264. S2CID   4406796.
  11. Miao, Haichao; De Llano, Elisa; Sorger, Johannes; Ahmadi, Yasaman; Kekic, Tadija; Isenberg, Tobias; Gröller, M. Eduard; Barišić, Ivan; Viola, Ivan (2017). "Multiscale Visualization and Scale-Adaptive Modification of DNA Nanostructures" (PDF). IEEE Transactions on Visualization and Computer Graphics. 24 (1): 1014–1024. doi:10.1109/TVCG.2017.2743981. PMID   28866510. S2CID   9479885.
  12. Artemova, Svetlana; Redon, Stephane (2012). "Adaptively Restrained Particle Simulations". Physical Review Letters. 109 (19): 190201:1–5. Bibcode:2012PhRvL.109s0201A. doi:10.1103/PhysRevLett.109.190201. PMID   23215362.
  13. Bosson, Mael; Grudinin, Sergei; Bouju, Xavier; Redon, Stephane (2012). "Interactive physically-based structural modeling of hydrocarbon systems". Journal of Computational Physics. 231 (6): 2581–2598. Bibcode:2012JCoPh.231.2581B. CiteSeerX   10.1.1.592.5537 . doi:10.1016/j.jcp.2011.12.006. S2CID   15942141.
  14. Bosson, Mael; Grudinin, Sergei; Redon, Stephane (2013). "Block-Adaptive Quantum Mechanics: An Adaptive Divide-and-Conquer Approach to Interactive Quantum Chemistry". Journal of Computational Chemistry. 34 (6): 492–504. doi:10.1002/jcc.23157. PMID   23108532. S2CID   2298570.