Bringing Molecular Dynamics Simulation Data into View.

Molecular dynamics (MD) simulations monitor time-resolved motions of macromolecules. While visualization of MD trajectories allows an instant and intuitive understanding of dynamics and function, so far mainly static representations are provided in the published literature. Recent advances in browser technology may allow for the sharing of trajectories through interactive visualization on the web. We believe that providing intuitive and interactive visualization, along with related protocols and analysis data, promotes understanding, reliability, and reusability of MD simulations. Existing barriers for sharing MD simulations are discussed and emerging solutions are highlighted. We predict that interactive visualization of MD trajectories will quickly be adopted by researchers, research consortiums, journals, and funding agencies to gather and distribute results from MD simulations via the web.

Seeing the PDB.

Ever since the first structures of proteins were determined in the 1960s, structural biologists have required methods to visualize biomolecular structures, both as an essential tool for their research and also to promote 3D comprehension of structural results by a wide audience of researchers, students, and the general public. In this review to celebrate the 50th anniversary of the Protein Data Bank, we present our own experiences in developing and applying methods of visualization and analysis to the ever-expanding archive of protein and nucleic acid structures in the worldwide Protein Data Bank. Across that timespan, Jane and David Richardson have concentrated on the organization inside and between the macromolecules, with ribbons to show the overall backbone "fold" and contact dots to show how the all-atom details fit together locally. David Goodsell has explored surface-based representations to present and explore biological subjects that range from molecules to cells. This review concludes with some ideas about the current challenges being addressed by the field of biomolecular visualization.

Visualization, Interactive Handling and Simulation of Molecules in Commodity Augmented Reality in Web Browsers Using moleculARweb's Virtual Modeling Kits.

moleculARweb (https://molecularweb.epfl.ch) began as a website for education and outreach in chemistry and structural biology through augmented reality (AR) content that runs in the web browsers of regular devices like smartphones, tablets, and computers. Here we present two evolutions of moleculARweb's Virtual Modeling Kits (VMK), tools where users can build and view molecules, and explore their mechanics, in 3D AR by handling the molecules in full 3D with custom-printed cube markers (VMK 2.0) or by moving around a simulated scene with mouse or touch gestures (VMK 3.0). Upon simulation the molecules experience visually realistic torsions, clashes, and hydrogen-bonding interactions that the user can manually switch on and off to explore their effects. Moreover, by manually tuning a fictitious temperature the users can accelerate conformational transitions or 'freeze' specific conformations for careful inspection in 3D. Even some phase transitions and separations can be simulated. We here showcase these and other features of the new VMKs connecting them to possible specific applications to teaching and self-learning of concepts from general, organic, biological and physical chemistry; and in assisting with small tasks in molecular modelling for research. Last, in a short discussion section we overview what future developments are needed for the 'dream tool' for the future of chemistry education and work.

Visualizing protein structures - tools and trends.

Molecular visualization is fundamental in the current scientific literature, textbooks and dissemination materials. It provides an essential support for presenting results, reasoning on and formulating hypotheses related to molecular structure. Tools for visual exploration of structural data have become easily accessible on a broad variety of platforms thanks to advanced software tools that render a great service to the scientific community. These tools are often developed across disciplines bridging computer science, biology and chemistry. This mini-review was written as a short and compact overview for scientists who need to visualize protein structures and want to make an informed decision which tool they should use. Here, we first describe a few 'Swiss Army knives' geared towards protein visualization for everyday use with an existing large user base, then focus on more specialized tools for peculiar needs that are not yet as broadly known. Our selection is by no means exhaustive, but reflects a diverse snapshot of scenarios that we consider informative for the reader. We end with an account of future trends and perspectives.

Rhorix: An interface between quantum chemical topology and the 3D graphics program blender.

Chemical research is assisted by the creation of visual representations that map concepts (such as atoms and bonds) to 3D objects. These concepts are rooted in chemical theory that predates routine solution of the Schrödinger equation for systems of interesting size. The method of Quantum Chemical Topology (QCT) provides an alternative, parameter-free means to understand chemical phenomena directly from quantum mechanical principles. Representation of the topological elements of QCT has lagged behind the best tools available. Here, we describe a general abstraction (and corresponding file format) that permits the definition of mappings between topological objects and their 3D representations. Possible mappings are discussed and a canonical example is suggested, which has been implemented as a Python "Add-On" named Rhorix for the state-of-the-art 3D modeling program Blender. This allows chemists to use modern drawing tools and artists to access QCT data in a familiar context. A number of examples are discussed. © 2017 The Authors. Journal of Computational Chemistry Published by Wiley Periodicals, Inc.

Visual automated macromolecular model building.

Automated model-building software aims at the objective interpretation of crystallographic diffraction data by means of the construction or completion of macromolecular models. Automated methods have rapidly gained in popularity as they are easy to use and generate reproducible and consistent results. However, the process of model building has become increasingly hidden and the user is often left to decide on how to proceed further with little feedback on what has preceded the output of the built model. Here, ArpNavigator, a molecular viewer tightly integrated into the ARP/wARP automated model-building package, is presented that directly controls model building and displays the evolving output in real time in order to make the procedure transparent to the user.

MAIN software for density averaging, model building, structure refinement and validation.

MAIN is software that has been designed to interactively perform the complex tasks of macromolecular crystal structure determination and validation. Using MAIN, it is possible to perform density modification, manual and semi-automated or automated model building and rebuilding, real- and reciprocal-space structure optimization and refinement, map calculations and various types of molecular structure validation. The prompt availability of various analytical tools and the immediate visualization of molecular and map objects allow a user to efficiently progress towards the completed refined structure. The extraordinary depth perception of molecular objects in three dimensions that is provided by MAIN is achieved by the clarity and contrast of colours and the smooth rotation of the displayed objects. MAIN allows simultaneous work on several molecular models and various crystal forms. The strength of MAIN lies in its manipulation of averaged density maps and molecular models when noncrystallographic symmetry (NCS) is present. Using MAIN, it is possible to optimize NCS parameters and envelopes and to refine the structure in single or multiple crystal forms.

Linus Pauling, Roger Hayward und der Wert von Sichtbarmachungen.

Linus Pauling, Roger Hayward, and the Value of Visualizations. Linus Pauling's work was intrinsically linked to visualizations. While his use of three- and two-dimensional inscriptions has been the focus of much scholarly research, the production of visualizations remains a rather poorly studied subject. This article focuses on the cooperation between Pauling and Roger Hayward, an architect by profession who came to scientific illustration in the late 1920s. By concentrating on the papers of Pauling and Hayward I describe the workflow between scientist and illustrator. Although Hayward's visualizations were epistemically indispensable and economically profitable, they were never fully acknowledged as such. This was due to the ongoing conflicts caused by the economic strategies pursued by Pauling and his publisher, Hayward's personal style, and science's general disregard for images as epistemic instruments. I suggest that these contentious relationships between scientist, illustrator, and publisher are paradigmatic for the history of scientific visualization.

A brief history of visualizing membrane systems in molecular dynamics simulations.

Understanding lipid dynamics and function, from the level of single, isolated molecules to large assemblies, is more than ever an intensive area of research. The interactions of lipids with other molecules, particularly membrane proteins, are now extensively studied. With advances in the development of force fields for molecular dynamics simulations (MD) and increases in computational resources, the creation of realistic and complex membrane systems is now common. In this perspective, we will review four decades of the history of molecular dynamics simulations applied to membranes and lipids through the prism of molecular graphics.

Colors in the representation of biological structures.

Among the many properties of proteins, sugars, nucleic acids, membranes and other cellular components, color is not present. At the same time, we humans have a natural ability of recognizing and appreciating colors, and use them generously, with the aim of both delivering information and pleasing the eyes. In this article, I suggest how we can conciliate these two situations, with the contribution of biologists, artists, and computer graphics and perception experts. The concept can be developed in a series of initiatives involving the community, including discussion sessions, technical challenges, experimental studies and outreach activities.

Online tools to easily build virtual molecular models for display in augmented and virtual reality on the web.

Several groups developed in the last years augmented and virtual reality (AR/VR) software to visualize 3D molecules, most rather static, limited in content, and requiring software installs, some even requiring expensive hardware. We launched in 2020 moleculARweb (https://molecularweb.epfl.ch), a website that offers interactive content for chemistry and structural biology education through commodity web-based AR that works on consumer devices like smartphones, tablets and laptops. Among thousands of users, teachers increasingly request more biological macromolecules to be available, a demand that we cannot address individually. Therefore, to allow users to build their own material, we built a web interface where they can create online AR experiences in few steps starting from Protein Data Bank, AlphaFold or custom uploaded structures, or from virtual objects/scenes exported from the Visual Molecular Dynamics program, without any programming knowledge. The web tool also returns WebXR sessions for viewing and manipulating the models in WebXR-compatible devices including smartphones, tablets, and also immersive VR headsets with WebXR-capable browsers, where models can be manipulated even with bare hands when supported by the device. The tool is accessible for free at https://molecularweb.epfl.ch/pages/pdb2ar.html.

A bibliometric analysis of the Journal of Molecular Graphics and Modelling: An update.

This paper provides a bibliometric review of the articles published in the Journal of Molecular Graphics and Modelling (formerly the Journal of Molecular Graphics). The journal has grown rapidly since its establishment in 1983, with articles coming from countries throughout the world. It now primarily contains articles describing applications of molecular graphics and modelling in chemical and biological systems, rather than the underlying technology that was the focus of many of the early papers in the journal; however, it is these early, system-based papers that continue to attract by far the largest numbers of citations.

In Silico Analysis of Therapeutic Antibody Aggregation and the Influence of Glycosylation.

The aggregation of therapeutic antibodies is a major issue for the pharmaceutical industry leading to loss of drug quality, increased dosage, and unwanted immune responses such as the production of anti-drug antibodies (ADA). As aggregation can occur at various stages of development and storage, much work has been performed to reduce or eliminate it. In this report we analyzed four antibodies available in the PDB (1IGT, 1IGY, 1HZH, and 5DK3) using the online software UCSF Chimera to study the structural features of the proteins and the associated N-linked glycans in the CH2 domains of the Fc region. To study antibody aggregation in silico we used the online software TANGO and AGGRESCAN to identify aggregation prone regions (APR) in the antibodies and the influence of the Fc glycans on hydrophobic and aromatic residues present in the APRs. In the 3D structures of 1IGT and 1IGY the glycan chains are in close enough proximity to influence and protect these hydrophobic regions. However, in the 3D structures of 1HZH and 5DK3 the glycans do not appear to influence the likely APRs of the antibodies. Therefore, in these structures we modified the Fc glycan regions by adjusting the glycosylated asparagine side chains and glycosidic bonds. We successfully adjusted the glycan chains of 1HZH and 5DK3 and reduced the distance between them and the APRs to show potential influence on aggregation. However, similar to 5DK3, the influence of glycosylation on the APRs of the antibody was limited due to the size of the glycans present in the 3D structure. This report is based on in silico studies to show how antibody glycans can influence aggregation.

RCSB Protein Data Bank: Celebrating 50 years of the PDB with new tools for understanding and visualizing biological macromolecules in 3D.

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), funded by the US National Science Foundation, National Institutes of Health, and Department of Energy, has served structural biologists and Protein Data Bank (PDB) data consumers worldwide since 1999. RCSB PDB, a founding member of the Worldwide Protein Data Bank (wwPDB) partnership, is the US data center for the global PDB archive housing biomolecular structure data. RCSB PDB is also responsible for the security of PDB data, as the wwPDB-designated Archive Keeper. Annually, RCSB PDB serves tens of thousands of three-dimensional (3D) macromolecular structure data depositors (using macromolecular crystallography, nuclear magnetic resonance spectroscopy, electron microscopy, and micro-electron diffraction) from all inhabited continents. RCSB PDB makes PDB data available from its research-focused RCSB.org web portal at no charge and without usage restrictions to millions of PDB data consumers working in every nation and territory worldwide. In addition, RCSB PDB operates an outreach and education PDB101.RCSB.org web portal that was used by more than 800,000 educators, students, and members of the public during calendar year 2020. This invited Tools Issue contribution describes (i) how the archive is growing and evolving as new experimental methods generate ever larger and more complex biomolecular structures; (ii) the importance of data standards and data remediation in effective management of the archive and facile integration with more than 50 external data resources; and (iii) new tools and features for 3D structure analysis and visualization made available during the past year via the RCSB.org web portal.

A virtual alternative to molecular model sets: a beginners' guide to constructing and visualizing molecules in open-source molecular graphics software.

OBJECTIVE: The application of molecular graphics software as a simple and free alternative to molecular model sets for introductory-level chemistry learners is presented. RESULTS: Based on either Avogadro or IQmol, we proposed four sets of tasks for students, building basic molecular geometries, visualizing orbitals and densities, predicting polarity of molecules and matching 3D structures with bond-line structures. These topics are typically covered in general chemistry for first-year undergraduate students. Detailed step-by-step procedures are provided for all tasks for both programs so that instructors and students can adopt one of the two programs in their teaching and learning as an alternative to molecular model sets.

UCSF ChimeraX: Structure visualization for researchers, educators, and developers.

UCSF ChimeraX is the next-generation interactive visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera. ChimeraX brings (a) significant performance and graphics enhancements; (b) new implementations of Chimera's most highly used tools, many with further improvements; (c) several entirely new analysis features; (d) support for new areas such as virtual reality, light-sheet microscopy, and medical imaging data; (e) major ease-of-use advances, including toolbars with icons to perform actions with a single click, basic "undo" capabilities, and more logical and consistent commands; and (f) an app store for researchers to contribute new tools. ChimeraX includes full user documentation and is free for noncommercial use, with downloads available for Windows, Linux, and macOS from https://www.rbvi.ucsf.edu/chimerax.

Scrutinizing Coronaviruses Using Publicly Available Bioinformatic Tools: The Viral Structural Proteins as a Case Study.

Since early 2020, the world suffers from a new beta-coronavirus, called SARS-CoV-2, that has devastating effects globally due to its associated disease, Covid-19. Until today, Covid-19, which not only causes life-threatening lung infections but also impairs various other organs and tissues, has killed hundreds of thousands of people and caused irreparable damage to many others. Since the very onset of the pandemic, huge efforts were made worldwide to fully understand this virus and numerous studies were, and still are, published. Many of these deal with structural analyses of the viral spike glycoprotein and with vaccine development, antibodies and antiviral molecules or immunomodulators that are assumed to become essential tools in the struggle against the virus. This paper summarizes knowledge on the properties of the four structural proteins (spike protein S, membrane protein M, envelope protein E and nucleocapsid protein N) of the SARS-CoV-2 virus and its relatives, SARS-CoV and MERS-CoV, that emerged few years earlier. Moreover, attention is paid to ways to analyze such proteins using freely available bioinformatic tools and, more importantly, to bring these proteins alive by looking at them on a computer/laptop screen with the easy-to-use but highly performant and interactive molecular graphics program DeepView. It is hoped that this paper will stimulate non-bioinformaticians and non-specialists in structural biology to scrutinize these and other macromolecules and as such will contribute to establishing procedures to fight these and maybe other forthcoming viruses.

Molecular Data Visualization with Augmented Reality (AR) on Mobile Devices.

Augmented reality (AR) allows a computer-generated 3D model to be superimposed onto a real-world environment in real time. The model can then be manipulated or probed interactively as if it is part of the real world. The application of AR in visualizing macromolecular structures is growing, primarily in showing preset collections of scenes for education purpose. Here, our emphasis is, however, on exploiting AR as a tool to facilitate scientific communication on the go. We have searched for freely available mobile software and custom-built tools which allow the display of user-specified protein structures. We provide step-by-step guides on a standalone app Ollomol (iOS and Android), as well as an in-browser web app, WebAR-PDB. Both of them allow users to specify entries from the Protein Data Bank (PDB) for an elementary AR experience. The application of AR enhances interactivity and imaginativity in macromolecular visualization.

Templates for writing PyMOL scripts.

PyMOL commands are used to exert exquisite control over the appearance of a molecular model. This control has made PyMOL popular for making images of protein structures for publications and presentations. However, many users have poor recall of the commands due to infrequent use of PyMOL. This poor recall hinders the writing of new code in scripts. One solution is to build the new script by using code fragments as templates for modular parts of the task at hand. The code fragments can be accessed from a library while writing the code from inside a text editor (e.g., Visual Studio Code, Vim, and Emacs). We developed a library of PyMOL code templates or snippets called pymolsnips to ease the writing of PyMOL code in scripts. We made pymolsnips available on GitHub in formats for 18 popular text editors. Most of the supported text editors are available for Mac, Windows, and Linux operating systems. The GitHub site includes animations that complement the instructions for installing the library for each text editor. We expect that the library will help many PyMOL users to be more productive when writing PyMOL script files.

Shortcuts for faster image creation in PyMOL.

PyMOL is often used to generate images of biomolecular structures. Hundreds of parameters in PyMOL provide precise control over the appearance of structures. We developed 241 Python functions-called "shortcuts"-that extend and ease the use of PyMOL. A user runs a shortcut by entering its name at the PyMOL prompt. We clustered the shortcuts by functionality into 25 groups for faster look-up. One set of shortcuts generates new styles of molecular representation. Another group saves files with time stamps in the file names; the unique filenames avoid overwriting files that have already been developed. A third group submits search terms in the user's web browser. The help function prints the function's documentation to the command history window. This documentation includes the PyMOL commands that the user can reuse by copying and pasting onto the command line or into a script file. The shortcuts should save the average PyMOL user many hours per year searching for code fragments in their computer or on-line. STATEMENT FOR LAY PUBLIC: Computer-generated images of protein structures are vital to the interpretation of and communication about the molecular structure of proteins. PyMOL is a popular computer program for generating such images. We made a large collection of macros or shortcuts that save time by executing complex operations with a few keystrokes.