Knowledge-based model building of proteins: concepts and examples.

We describe how to build protein models from structural templates. Methods to identify structural similarities between proteins in cases of significant, moderate to low, or virtually absent sequence similarity are discussed. The detection and evaluation of structural relationships is emphasized as a central aspect of protein modeling, distinct from the more technical aspects of model building. Computational techniques to generate and complement comparative protein models are also reviewed. Two examples, P-selectin and gp39, are presented to illustrate the derivation of protein model structures and their use in experimental studies.     

Molecular Modeling of Immunoglobulin Superfamily Proteins: CTLA-4 (CD152) - Comparison of a Predicted and Experimentally Determined Three-Dimensional Structure

The CD28 and CTLA-4 (CD152) receptors on T cells recognize CD80 and CD86 ligands on antigen presenting cells. These interactions provide and control costimulatory signals required for effective T cell activation. CD28 and CTLA-4 belong to the immunoglobulin superfamily (IgSF) and contain a single extracellular ligand binding domain. The three-dimensional (3D) structure of the binding domain of CTLA-4 was modeled previously using a combination of structure-based sequence comparison, IgSF consensus residue analysis, conformational search, and inverse folding calculations. Recently, the 3D structure of CTLA-4 was determined by NMR. Comparison of the modeled and experimentally determined CTLA-4 structure has made it possible to assess the accuracy of our predictions. We found that the overall accuracy of the model was sound and sufficient for a meaningful application of the model in experimental studies. Major errors in the model are limited to the conformation and position of some loops. Our studies on CTLA-4 provide an example for the opportunities and limitations of comparative protein modeling in the presence of low sequence similarity.Electronic Supplementary Material available.     

Molecular docking uncovers TSPY binds more efficiently with eEF1A2 compared to eEF1A1

Testis-specific protein, Y-encoded (TSPY) binds to eukaryotic translation elongation factor 1 alpha (eEF1A) at its SET/NAP domain that is essential for the elongation during protein synthesis implicated with normal spermatogenesis. The eEF1A exists in two forms, eEF1A1 (alpha 1) and eEF1A2 (alpha 2), encoded by separate loci. Despite critical interplay of the TSPY and eEF1A proteins, literature remained silent on the residues playing significant roles during such interactions. We deduced 3D structures of TSPY and eEF1A variants by comparative modeling (Modeller 9.13) and assessed protein–protein interactions employing HADDOCK docking. Pairwise alignment using EMBOSS Needle for eEF1A1 and eEF1A2 proteins revealed high degree (~92%) of homology. Efficient binding of TSPY with eEF1A2 as compared to eEF1A1 was observed, in spite of the occurrence of significant structural similarities between the two variants. We also detected strong interactions of domain III followed by domains II and I of both eEF1A variants with TSPY. In the process, seven interacting residues of TSPY’s NAP domain namely, Asp 175, Glu 176, Asp 179, Tyr 183, Asp 240, Glu 244, and Tyr 246 common to both eEF1A variants were detected. Additionally, six lysine residues observed in eEF1A2 suggest their possible role in TSPY–eEF1A2 complex formation essential for germ cell development and spermatogenesis. Thus, more efficient binding of TSPY with eEF1A2 as compared to that of eEF1A1 established autonomous functioning of these two variants. Studies on mutated protein following similar approach would uncover the causative obstruction, between the interacting partners leading to deeper understanding on the structure–function relationship.     

Evaluation of comparative protein modeling by MODELLER

We evaluate 3D models of human nucleoside diphosphate kinase, mouse cellular retinoic acid binding protein I, and human eosinophil neurotoxin that were calculated by MODELLER , a program for comparative protein modeling by satisfaction of spatial restraints. The models have good stereochemistry and are at least as similar to the crystallographic structures as the closest template structures. The largest errors occur in the regions that were not aligned correctly or where the template structures are not similar to the correct structure. These regions correspond predominantly to exposed loops, insertions of any length, and non-conserved side chains. When a template structure with more than 40% sequence identity to the target protein is available, the model is likely to have about 90% of the mainchain atoms modeled with an rms deviation from the X-ray structure of ≈ 1 Å, in large part because the templates are likely to be that similar to the X-ray structure of the target. This rms deviation is comparable to the overall differences between refined NMR and X-ray crystallography structures of the same protein. © 1995 Wiley-Liss, Inc.     

Interaction of rice and human SRP19 polypeptides with signal recognition particle RNA

The signal recognition particle (SRP) controls the transport of secretory proteins into and across lipid bilayers. SRP-like ribonucleoprotein complexes exist in all organisms, including plants. We characterized the rice SRP RNA and its primary RNA binding protein, SRP19. The secondary structure of the rice SRP RNA was similar to that found in other eukaryotes; however, as in other plant SRP RNAs, a GUUUCA hexamer sequence replaced the highly conserved GNRA-tetranucleotide loop motif at the apex of helix 8. The small domain of the rice SRP RNA was reduced considerably. Structurally, rice SRP19 lacked two small regions that can be present in other SRP19 homologues. Conservative structure prediction and site-directed mutagenesis of rice and human SRP19 polypeptides indicated that binding to the SRP RNAs occurred via a loop that is present in the N-domain of both proteins. Rice SRP19 protein was able to form a stable complex with the rice SRP RNA in vitro. Furthermore, heterologous ribonucleoprotein complexes with components of the human SRP were assembled, thus confirming a high degree of structural and functional conservation between plant and mammalian SRP components.     

Structural trees for proteins containing φ-motifs

In the present study, a novel structural motif of proteins referred to as the phi-motif is considered, and two novel structural trees in which the phi-motif is taken as the root structure have been constructed. The simplest phi-motif is formed by three adjacent beta-strands connected by loops and packed in one beta-sheet so that its overall fold resembles the Greek letter phi. Construction of the structural trees and modeling of folding pathways have shown that all structures of the protein superfamilies can be obtained by stepwise addition of alpha-helices and/or beta-strands to the root phi-motif taking into account a restricted set of rules inferred from known principles of protein structure. The structural trees are a good tool for structure comparison, structural classification of proteins, as well as for searching for all possible protein folds and folding pathways.