bioRxiv Science⌕ Search

Biology subjects

Madej, T.

Publications and source records attributed to Madej, T..

5 recordsLinked to original sources

Unusual traits shape the architecture of the Ig ancestor molecule

Understanding the ancestral Ig domains molecular structure and tracing the evolution of Ig-like proteins are fundamental components missing from our comprehension of their evolutionary trajectory and function. We have elucidated the molecular structures of two Ig-like proteins from the evolutionary most ancestral phylum, Porifera, revealing previously unidentified Ig-domain features that highlight the concomitant presence of a novel Ig "Early Variable" (EV)-set in tandem with a C1-set domain. The latter, to our knowledge, has never been reported before in non-vertebrates. The IgV and IgC1 sets and their combination into functional Ig-like receptors are part of the adaptive immune system in higher vertebrates, which allows for highly specific immune responses. These observations in the ancient Porifera phylum could indicate the presence of primitive forms of adaptive immunity or a foundational immune strategy that has been conserved through evolution. By unveiling important clues into the molecular configuration of ancestral Ig domains, these findings challenge and expand our understanding of how immunity has evolved within its current landscape.

evolutionary biology↗

A universal residue numbering scheme for the Immunoglobulin-fold (Ig-fold) to study Ig-Proteomes and Ig-Interactomes

The Immunoglobulin fold (Ig-fold) is found in proteins from all domains of life and represents the most populous fold in the human genome, with current estimates ranging from 2 to 3% of protein coding regions. That proportion is much higher in the surfaceome where Ig and Ig-like domains orchestrate cell-cell recognition, adhesion and signaling. The ability of Ig-domains to reliably fold and self-assemble through highly specific interfaces represents a remarkable property of these domains, making them key elements of molecular interaction systems: the immune system, the nervous system, the vascular system and the muscular system. We define a universal residue numbering scheme, common to all domains sharing the Ig-fold in order to study the wide spectrum of Ig-domain variants constituting the Ig-proteome and Ig-Ig interactomes at the heart of these systems. The "IgStrand numbering scheme" enables the identification of Ig structural proteomes and interactomes in and between any species, and comparative structural, functional, and evolutionary analyses. We review how Ig-domains are classified today as topological and structural variants and highlight the "Ig-fold irreducible structural signature" shared by all of them. The IgStrand numbering scheme lays the foundation for the systematic annotation of structural proteomes by detecting and accurately labeling Ig-, Ig-like and Ig-extended domains in proteins, which are poorly annotated in current databases and opens the door to accurate machine learning. Importantly, it sheds light on the robust Ig protein folding algorithm used by nature to form beta sandwich supersecondary structures. The numbering scheme powers an algorithm implemented in the interactive structural analysis software iCn3D to systematically recognize Ig-domains, annotate them and perform detailed analyses comparing any domain sharing the Ig-fold in sequence, topology and structure, regardless of their diverse topologies or origin. The scheme provides a robust fold detection and labeling mechanism that reveals unsuspected structural homologies among protein structures beyond currently identified Ig- and Ig-like domain variants. Indeed, multiple folds classified independently contain a common structural signature, in particular jelly-rolls. Examples of folds that harbor an "Ig-extended" architecture are given. Applications in protein engineering around the Ig-architecture are straightforward based on the universal numbering. AUTHOR SUMMARYThe Immunoglobulin fold (Ig-fold) is a highly conserved protein architecture that has diversified extensively throughout evolution to provide a significant number of Ig-domain types with variable topologies in all life forms. Primarily known for its role in the vertebrate immune system and in particular for its presence in the structure of antibodies, the Ig-domains are found in a myriad of proteins involved in multiple diverse biological/structural functions within the immune, nervous, vascular, and muscular systems, where they mediate neural development, cell-cell recognition, cell adhesion and signaling. Structurally, the Ig-fold consists of 70-110 amino acids that form two beta sheets stabilized by hydrogen bonds facing each other in a sandwich configuration. This architecture provides stability and tremendous adaptability, making the Ig-fold a fundamental building block in many protein families across species, from bacteria to vertebrates. The Ig-fold is most abundant in the human genome, accounting for at least 2-3% of protein-coding regions, which is an underestimate as no reliable method exists to date that can identify all Ig domain variants with precision. To better identify and to study Ig-domain variants and most importantly their specific interactions behind biological functions, the "IgStrand universal residue numbering scheme" was developed. It enables the annotation of the diverse Ig-domain topological variants down to the residue level and their interactions, allowing detailed comparative structural, functional, and evolutionary analyses. This deconstruction of all known Ig-domain topological variant tertiary and quaternary structures will assist in the rational design from scratch of Ig-based therapeutics from single-domain antibodies to cellular therapies against any antigen of interest.

bioinformatics↗

iCn3D: from Web-based 3D Viewer to Structure Analysis Tool in Batch Mode

iCn3D was initially developed as a web-based 3D molecular viewer. It then evolved from visualization into a full-featured interactive structural analysis software. It became a collaborative research instrument through the sharing of permanent, shortened URLs that encapsulate not only annotated visual molecular scenes, but also all underlying data and analysis scripts in a FAIR manner. More recently, with the growth of structural databases, the need to analyze large structural datasets systematically led us to use Python scripts and convert the code to be used in Node.js scripts. We showed a few examples of Python scripts at https://github.com/ncbi/icn3d/tree/master/icn3dpython to export secondary structures or PNG images from iCn3D. Users just need to replace the URL in the Python scripts to export other annotations from iCn3D. Furthermore, any interactive iCn3D feature can be converted into a Node.js script to be run in batch mode, enabling an interactive analysis performed on one or a handful of protein complexes to be scaled up to analysis features of large ensembles of structures. Currently available Node.js analysis scripts examples are available at https://github.com/ncbi/icn3d/tree/master/icn3dnode. This development will enable ensemble analyses on growing structural databases such as AlphaFold or RoseTTAFold on one hand and Electron Microscopy on the other. In this paper, we also review new features such as DelPhi electrostatic potential, 3D view of mutations, alignment of multiple chains, assembly of multiple structures by realignment, dynamic symmetry calculation, 2D cartoons at different levels, interactive contact maps, and use of iCn3D in Jupyter Notebook as described at https://pypi.org/project/icn3dpy.

bioinformatics↗

Using iCn3D and the World Wide Web for structure-based collaborative research: Analyzing molecular interactions at the root of COVID-19

ABSTRACTThe COVID-19 pandemic took us ill-prepared and tackling the many challenges it poses in a timely manner requires world-wide collaboration. Our ability to study the SARS-COV-2 virus and its interactions with its human host in molecular terms efficiently and collaboratively becomes indispensable and mission-critical in the race to develop vaccines, drugs, and neutralizing antibodies. There is already a significant corpus of 3D structures related to SARS and MERS coronaviruses, and the rapid generation of new structures demands the use of efficient tools to expedite the sharing of structural analyses and molecular designs and convey them in their native 3D context in sync with sequence data and annotations. We developed iCn3D (pronounced “I see in 3D”) 1 to take full advantage of web technologies and allow scientists of different backgrounds to perform and share sequence-structure analyses over the Internet and engage in collaborations through a simple mechanism of exchanging “lifelong” web links (URLs). This approach solves the very old problem of “sharing of molecular scenes” in a reliable and convenient manner. iCn3D links are sharable over the Internet and make data and entire analyses findable, accessible, and reproducible, with various levels of interoperability. Links and underlying data are FAIR 2 and can be embedded in preprints and papers, bringing a 3D live and interactive dimension to a world of text and static images used in current publications, eliminating at the same time the need for arcane supplemental materials. This paper exemplifies iCn3D capabilities in visualization, analysis, and sharing of COVID-19 related structures, sequence variability, and molecular interactions.Competing Interest StatementThe authors have declared no competing interest.View Full Text

bioinformatics↗

iCn3D, a Web-based 3D Viewer for the Visualization of Biomolecular Structure and Sequence Annotation

SummaryiCn3D (l-see-in-3D) is a web-based 3D molecular structure viewer implemented in JavaScript. It invites users to explore sequence-structure relationships by displaying 3D structures, protein and nucleotide sequences, and biological annotations such as protein domains, Single Nucleotide Variations, functional sites, molecular contacts, as well as user defined features. Customized and user-annotated displays can be shared with colleagues or publishers via a simple URL, or embedded in web pages as live 3D displays. iCn3D is unique in its ability to simultaneously show 3D structure, 2D molecular networks and interactions, and 1D protein and nucleotide sequences through an integrated sequence/annotation browser. Arbitrary molecular features can be selected in any of the 1D/2D/3D windows as sets of molecules or residues, utilizing flexible user interfaces. These selections are synchronized dynamically in all displays. They can, for example, be shown as tracks in the 1D sequence/annotation browser with simultaneous 3D representations. They can be saved and reused throughout a single user session, or exported for subsequent sessions and further external analysis. iCn3D is rich in structural analysis and visualization features and has a built-in user interface that supports both command line- and menu-driven operation. Session commands can be saved, replayed and shared. iCn3D can display superimposed structures obtained from NCBFs VAST+ structural alignment resource, for comparative analysis of tertiary or quaternary structure. iCn3D can also display electron density maps for crystal structures and export files for 3D printing. The following example URL exemplifies some of the 1D/2D/3D representations: https://www.ncbi.nlm.nih.gov/Structure/icn3d/full.html?mmdbid=1TUP&showanno=1&show2d=1&showsets=1.\n\nAvailability and implementationiCn3D is freely available to the public. Its source code is available at https://github.com/ncbi/icn3d.

bioinformatics↗