In this article, we will explore the fascinating world of Molecular Modelling Toolkit, a topic that has captivated the attention of millions of people around the world. Molecular Modelling Toolkit has been the subject of multiple studies and research over the years, and its impact on modern society is undeniable. Since its discovery, Molecular Modelling Toolkit has generated endless debates and controversies, awakening unprecedented interest in various areas of knowledge. Throughout the next lines, we will delve into the most relevant details about Molecular Modelling Toolkit, exploring its history, its influence today and the future perspectives it offers. It doesn't matter if you are an expert on the subject or just curious, this article will give you an enriching and complete look at Molecular Modelling Toolkit.
The Molecular Modeling Toolkit is a library that implements common molecular simulation techniques, with an emphasis on biomolecular simulations. It uses modern software engineering techniques (object-oriented design, a high-level language) in order to overcome limitations associated with the large monolithic simulation programs that are commonly used for biomolecules. Its principal advantages are (1) easy extension and combination with other libraries due to modular library design, (2) a single high-level general-purpose programming language (Python) is used for library implementation as well as for application scripts, (3) use of documented and machine-independent formats for all data files, and (4) interfaces to other simulation and visualization programs.
— Konrad Hinsen, The Molecular Modeling Toolkit: A New Approach to Molecular Simulations[1]
As of 28 April 2011, MMTK consists of about 18,000 lines of Python code, 12,000 lines of hand-written C code, and some machine-generated C code.
Features
construction of molecular systems, with special support for proteins and nucleic acids
infinite systems or periodic boundary conditions (orthorhombic elementary cells)
common geometrical operations on coordinates
rigid-body fits
visualization using external PDB and VRML viewers; animation of dynamics trajectories and normal modes
the AMBER 94 force field, with several options for handling electrostatic interactions
a deformation force field for fast normal mode calculations on proteins
energy minimization (steepest descent and conjugate gradient)
molecular dynamics (with optional thermostat, barostat, and distance constraints)