The recent advancement in technologies in the last ten years has opened a new era in computational studies. Many misunderstood theoretical studies with computational— but there is a conceptual difference between these two. Mathematical descriptions and studies about the topic mainly define the former. In contrast, the latter is the study when a computer is well trained to do all types of theoretical calculations and analyses itself upon giving it the instructions. Having robust systems in hand makes it much easier to do computational calculations before doing any experimental work. But what are the softwares to start with? Well, it depends on what type of research work you are doing or going to do. Here, I’ll discuss some most familiar softwares (both open-source and commercial) in this computational research field. So, no more introduction — let’s get into the central part.

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Molecular/Materials Modelling and Visualisation

Avogadro:

Avogadro Software Logo

Avogadro Software Logo

It is an open-source software used in computational chemistry, molecular modeling, bioinformatics, etc. It was first introduced in 2008 and written in C++ language. The source code and documentation are available on GitHub. Though Avogadro has its discussion and tutorial website avogadro.cc, the software is available on SourceForge and maintained there. It is extensible via a plugin architecture. You can find a basic tutorial on this software on YouTube —


Avogadro Tutorial Series
Pros: - Available for Windows, Linux and macOS and in many languages
- Free and Open-source
- Supports multi-threaded rendering and computation
- Easy to understand and work
- Plugin architecture for developer (commands, Python scripts)
- Babel chemical file import
Cons: - Sometimes may stop opening files/save them with errors
- Doesn't provide all features provided by paid one
Rating: 4.7/5

Spartan:

Spartan'20 Software Logo

Spartan’20 Software Logo

It is a proprietary software provided by Wavefunction Inc. This software is mainly used in molecular modeling and quantum calculations in computational chemistry. Though in the research field, the software is primarily used for molecular modeling and visualization. The software contains an integrated graphical user interface. Graphical models, especially molecular orbitals, electron density, and electrostatic potential maps, are a routine means of molecular visualization in chemistry education. I have written a complete Spartan tutorial series —

Pros: - Available for Windows, Linux and macOS and in many languages
- Supports multi-core computations
- Easy to understand and work
- Provides MMFF, MNDO, Austin Model, PM3 etc. models.
Cons: - Commercial price is high
Rating: 3.9/5

Materials Studio:

BIOVIA Materials Studio Logo

BIOVIA Materials Studio Logo

Materials Studio is programming for mimicking and demonstrating materials. It is created and circulated by BIOVIA (some time ago Accelrys), a firm having some expertise in research programming for computational science, bioinformatics, cheminformatics, atomic elements reenactment, and quantum mechanics.

This product is utilized in cutting-edge exploration of different materials, like polymers, carbon nanotubes, impetuses, metals, ceramics, etc., by colleges, research focuses, and innovative organizations. Here is one basic introduction to Materials Studio —


Introduction to Materials Studio
Pros: - Available for Windows
- Supports multi-core computations
- Easy to understand and work and has wide range of capability
- Provides CASTEP, DMol3, CCDC etc. more than 8 packages
- Materials building and visualisation tool is excellent
Cons: - Commercial price is very much high
- Not available for Linux and macOS
Rating: 3.6/5

SAMSON:

SAMSON Logo

SAMSON Logo

SAMSON(Software for Adaptive Modeling and Simulation Of Nanosystems) is one of the most quickly growing platforms for integrated molecular design. SAMSON’s goal is to make it faster for everyone to design drugs, materials, and nanosystems. It is being developed by OneAngstrom and previously by the NANO-D group at the French Institute for Research in Computer Science and Automation (INRIA). It gives many features completely free of cost like —

  • • Build structures
  • • Create visualizations
  • • Create animations
  • • Export HD moviesCompute in the cloud
  • • Share documents online
  • • Develop and distribute extensions
  • • Community support
  • • 1-minute movie length
  • • 25-command history
  • • 1 free extension

To get the free package one will have to register at the SAMSON Connect sign-up page. There are many features other than the above-mentioned ones. But one will have to pay to avail of those features.


SAMSON Tutorial
Pros: - Free package upto a limitation
- Available for Windows, Linux, macOS
- Modern viewport with gorgeous animations
Cons: - Free package comes with very limited features
Rating: 4.2/5

Molecular Docking & Dynamics

AutoDock Vina:

AutoDock Vina is an open-source program for doing atomic docking. It was planned and carried out by Dr. Oleg Trott in the Molecular Graphics Lab at The Scripps Research Institute. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user.

AutoDock Vina achieves approximately two orders of magnitude speed-up compared to the molecular docking software previously developed in their lab (AutoDock 4) while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. You can use AutoDock Vina free from their site, vina.scripps.edu free for academic purposes.


AutoDock Vina Video Tutorial
Pros: - Available for Windows, Linux and macOS
- Supports multi-core computations for faster calculations
- Easy to understand and work and has wide range of capability
- Free for academic purposes
- World Community Grid has thousand of previous projects
Cons: - Not so much accurate in identifying ligand binding poses
Rating: 4.9/5

GOLD:

GOLD Docking Software Logo

GOLD Docking Software Logo

It is a GA-based docking program that collaborates with the University of Sheffield, GlaxoSmithKline, and the Cambridge Crystallographic Data Centre. GOLD has proven success in virtual screening, lead optimization, and identifying the correct binding mode of active molecules. But it is commercial software, and if you want to use it, you have to buy the license from their site.

Pros: - Available for Windows, Linux and macOS
- Supports multi-core computations for faster calculations
- Easy to understand and work and has wide range of capability
Cons: - It is a proprietary software
Rating: 4.1/5

GROMACS:

GROMACS Logo

GROMACS Logo

It is an atomic elements bundle, for the most part, intended for reproductions of proteins, lipids, and nucleic acids. It was initially evolved in the Biophysical Chemistry division of the University of Groningen and is presently kept up with supporters in colleges and examination focuses worldwide. GROMACS is one of the quickest and most famous programming bundles accessible and can run on focal handling units (CPUs) and illustrations preparing units (GPUs). It is free, open-source programming delivered under the GNU General Public License (GPL) and beginning with rendition 4.6, the GNU Lesser General Public License (LGPL). It is freely available for download at manual.gromacs.org.


GROMACS Tutorial
Pros: - Available for Windows, Linux and macOS
- Supports multi-core computations for faster calculations
- Easy to understand and work and has wide range of capability
Cons: - Has a limitation of speeding up
- Little buggy
- Has only command line interface i.e. CLI
Rating: 4.6/5

NAMD:

NAMD Logo

NAMD Logo

Nanoscale Molecular Dynamics (NAMD, in the past Not Another Molecular Dynamics Program) is PC programming for sub-atomic elements recreation, composed utilizing the Charm++, equal programming model. It is noted for its similar productivity and is normally used to reenact huge frameworks (a vast number of atoms). It has been created by the joint effort of the Theoretical and Computational Biophysics Group (TCB) and the Parallel Programming Laboratory (PPL) at the University of Illinois at Urbana–Champaign. NAMD is also freely available for non-commercial use.


NAMD Tutorial — Simulation of a Simple Protein
Pros: - Available for Windows, Linux, macOS, Unix
- Can scale beyond 500,000 processor cores
- With VMD it is widely used for hybrid QM/MM simulations
Cons: - User must know Charm++ as NAMD can't be built without it.
Rating: 4.9/5

Quantum Chemistry

Gaussian:

Gaussian Logo

Gaussian Logo

Gaussian is a broadly helpful computational science programming bundle at first delivered in 1970 by John Pople and his examination bunch at Carnegie Mellon University as Gaussian 70. It has been constantly refreshed from that point forward. The latest version is Gaussian 16, and it is now authorized by Gaussian.inc. The name begins from Pople’s utilization of Gaussian orbitals to accelerate sub-atomic electronic construction computations rather than utilizing Slater-type orbitals, a decision made to further develop execution on the restricted figuring limits of then-current PC equipment for Hartree–Fock estimations. However, it is commercial software, and you can buy the license from the Gaussian website. Gaussian 16 can also be run using their GUI-based software GaussView.


Gaussian DFT Calculation Tutorial Using GaussView Software
Pros: - Available for Windows, Linux, macOS, Unix
- Does all type of Semi-emperical, DFT, SCF etc. methods
Cons: - Commercial software.
- Not so good for CASSCF or MCSCF calculations
Rating: 4.1/5

ORCA:

ORCA Logo

ORCA Logo

ORCA is an ab initio quantum chemistry program package developed by the research group of Frank Neese at Max Plant Institute in 2012. This package contains modern electronic structure methods including DFT calculations, many-body perturbations, coupled-cluster methods, multireference methods, and semi-empirical calculations. Its main field of application is larger molecules, transition metal complexes, and their spectroscopic properties. The free version is available only for academic use at academic institutions. One has to register at orcaforum to freely download the ORCA package. Basic ORCA inputs can be learned from ORCA Input Library.


ORCA Tutorial
Pros: - Free package for academic use
- Available for Windows, Linux, macOS
- Does all type of Semi-emperical, DFT, SCF etc. methods
Cons: - Comparatively new in the computational world (since 2012)
Rating: 4.7/5

Quantum ESPRESSO:

Quantum ESPRESSO Logo

Quantum ESPRESSO Logo

Quantum ESPRESSO is a suite for first-standards electronic-structure estimations and materials displaying, circulated free of charge and as free programming under the GNU General Public License. It depends on useful thickness hypothesis, plane-wave premise sets, and pseudopotentials (standard monitoring and ultrasoft). The latest version, QE-6.8, was released on 20 July 2021. The software can be downloaded for free from their official site.


ORCA Tutorial
Pros: - Free package for academic use
- Available for Windows, Linux, macOS
- Does all type of Semi-emperical, DFT, SCF etc. methods
Cons: - Comparatively new in the computational world (since 2012)
Rating: 4.7/5

Skeletal Structure Drawing

ChemDraw:

ChemDraw Logo

ChemDraw Logo

I don’t think you can find a chemist (!not only computational people) without using this software. It is a particle manager initially created in 1985 by David A. Evans and Stewart Rubenstein (later by the cheminformatics organisation CambridgeSoft). The organisation was offered to PerkinElmer in the year 2011. ChemDraw, alongside Chem3D and ChemFinder, is important for the ChemOffice set-up of projects and is accessible for Macintosh and Microsoft Windows. You can get the licence for the software from the PerkinElmer website.


ChemDraw Basics Tutorial
Pros: - Available for Windows, macOS
- Chemical structure to name conversion and vice versa
- NMR & Mass spectrum simulation
- Exporting to diff. image file type
Cons: - No Linux version
- Commercial software
Rating: 4.9/5

References:

All the references are listed in this PDF.

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Thank you for reading.

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