Structures Of Homologous Proteins Research Articles

Bacterial protein structures reveal phylum dependent divergence

Protein sequence space is vast compared to protein fold space. This raises important questions about how structures adapt to evolutionary changes in protein sequences. A growing trend is to regard protein fold space as a continuum rather than a series of discrete structures. From this perspective, homologous protein structures within the same functional classification should reveal a constant rate of structural drift relative to sequence changes. The clusters of orthologous groups (COG) classification system was used to annotate homologous bacterial protein structures in the Protein Data Bank (PDB). The structures and sequences of proteins within each COG were compared against each other to establish their relatedness. As expected, the analysis demonstrates a sharp structural divergence between the bacterial phyla Firmicutes and Proteobacteria. Additionally, each COG had a distinct sequence/structure relationship, indicating that different evolutionary pressures affect the degree of structural divergence. However, our analysis also shows the relative drift rate between sequence identity and structure divergence remains constant.

A PCSK9-binding antibody that structurally mimics the EGF(A) domain of LDL-receptor reduces LDL cholesterol in vivo1[S

Proprotein convertase subtilisin-like/kexin type 9 (PCSK9) regulates LDL cholesterol levels by inhibiting LDL receptor (LDLr)-mediated cellular LDL uptake. We have identified a fragment antigen-binding (Fab) 1D05 which binds PCSK9 with nanomolar affinity. The fully human antibody 1D05-IgG2 completely blocks the inhibitory effects of wild-type PCSK9 and two gain-of-function human PCSK9 mutants, S127R and D374Y. The crystal structure of 1D05-Fab bound to PCSK9 reveals that 1D05-Fab binds to an epitope on the PCSK9 catalytic domain which includes the entire LDLr EGF(A) binding site. Notably, the 1D05-Fab CDR-H3 and CDR-H2 loops structurally mimic the EGF(A) domain of LDLr. In a transgenic mouse model (CETP/LDLr-hemi), in which plasma lipid and PCSK9 profiles are comparable to those of humans, 1D05-IgG2 reduces plasma LDL cholesterol to 40% and raises hepatic LDLr protein levels approximately fivefold. Similarly, in healthy rhesus monkeys, 1D05-IgG2 effectively reduced LDL cholesterol 20%-50% for over 2 weeks, despite its relatively short terminal half-life (t(1/2) = 3.2 days). Importantly, the decrease in circulating LDL cholesterol corresponds closely to the reduction in free PCSK9 levels. Together these results clearly demonstrate that the LDL-lowering effect of the neutralizing anti-PCSK9 1D05-IgG2 antibody is mediated by reducing the amount of PCSK9 that can bind to the LDLr.

Functional Annotation Analytics of Rhodopseudomonas palustris Genomes

Rhodopseudomonas palustris, a nonsulphur purple photosynthetic bacteria, has been extensively investigated for its metabolic versatility including ability to produce hydrogen gas from sunlight and biomass. The availability of the finished genome sequences of six R. palustris strains (BisA53, BisB18, BisB5, CGA009, HaA2 and TIE-1) combined with online bioinformatics software for integrated analysis presents new opportunities to determine the genomic basis of metabolic versatility and ecological lifestyles of the bacteria species. The purpose of this investigation was to compare the functional annotations available for multiple R. palustris genomes to identify annotations that can be further investigated for strain-specific or uniquely shared phenotypic characteristics. A total of 2,355 protein family Pfam domain annotations were clustered based on presence or absence in the six genomes. The clustering process identified groups of functional annotations including those that could be verified as strain-specific or uniquely shared phenotypes. For example, genes encoding water/glycerol transport were present in the genome sequences of strains CGA009 and BisB5, but absent in strains BisA53, BisB18, HaA2 and TIE-1. Protein structural homology modeling predicted that the two orthologous 240 aa R. palustris aquaporins have water-specific transport function. Based on observations in other microbes, the presence of aquaporin in R. palustris strains may improve freeze tolerance in natural conditions of rapid freezing such as nitrogen fixation at low temperatures where access to liquid water is a limiting factor for nitrogenase activation. In the case of adaptive loss of aquaporin genes, strains may be better adapted to survive in conditions of high-sugar content such as fermentation of biomass for biohydrogen production. Finally, web-based resources were developed to allow for interactive, user-defined selection of the relationship between protein family annotations and the R. palustris genomes.

Transplant−Insert−Constrain−Relax−Assemble (TICRA): Protein−Ligand Complex Structure Modeling and Application to Kinases

We introduce TICRA (transplant-insert-constrain-relax-assemble), a method for modeling the structure of unknown protein-ligand complexes using the X-ray crystal structures of homologous proteins and ligands with known activity. We present results from modeling the structures of protein kinase-inhibitor complexes using p38 and Lck as examples. These examples show that the TICRA method may be used prospectively to create and refine models for protein kinase-inhibitor complexes with an overall backbone rmsd of less than 0.75 Å for the kinase domain, when compared to published X-ray crystal structures. Further refinement of the models of the kinase domains of p38 and Lck in complex with their cognate ligands from the published crystal structures was able to improve the rmsd's of the model complexes to below 0.5 Å. Our results show that TICRA is a useful approach to the problem of structure-based drug design in cases where little structural information is available for the target proteins and the binding mode of active compounds is unknown.

Structure-based engineering of benzalacetone synthase

Benzalacetone synthase (BAS) and chalcone synthase (CHS) are plant-specific type III polyketide synthases (PKSs), sharing 70% amino acid sequence identity and highly homologous overall protein structures. BAS catalyzes the decarboxylative coupling of 4-coumaroyl-CoA with malonyl-CoA to produce the diketide benzalacetone, whereas CHS produces the tetraketide chalcone by iterative condensations with three molecules of malonyl-CoA, and folding the resulting intermediate into a new aromatic ring system. Recent crystallographic analyses of Rheum palmatum BAS revealed that the characteristic substitution of Thr132 (numbering of Medicago sativa CHS2), a conserved CHS residue lining the active-site cavity, with Leu causes steric contraction of the BAS active-site to produce the diketide, instead of the tetraketide. To test this hypothesis, we constructed a set of R. palmatum BAS site-directed mutants (L132G, L132A, L132S, L132C, L132T, L132F, L132Y, L132W and L132P), and investigated the mechanistic consequences of the point mutations. As a result, the single amino acid substitution L132T restored the chalcone-forming activity in BAS, whereas the Ala, Ser, and Cys substitutions expanded the product chain length to produce 4-coumaroyltriacetic acid lactone (CTAL) after three condensations with malonyl-CoA, but without the formation of the aromatic ring system. Homology modeling suggested that this is probably caused by the restoration of the ‘coumaroyl binding pocket’ in the active-site cavity. These findings provide further insights into the structural details of the catalytic mechanism of the type III PKS enzymes.

Knowledge-based annotation of small molecule binding sites in proteins

BackgroundThe study of protein-small molecule interactions is vital for understanding protein function and for practical applications in drug discovery. To benefit from the rapidly increasing structural data, it is essential to improve the tools that enable large scale binding site prediction with greater emphasis on their biological validity.ResultsWe have developed a new method for the annotation of protein-small molecule binding sites, using inference by homology, which allows us to extend annotation onto protein sequences without experimental data available. To ensure biological relevance of binding sites, our method clusters similar binding sites found in homologous protein structures based on their sequence and structure conservation. Binding sites which appear evolutionarily conserved among non-redundant sets of homologous proteins are given higher priority. After binding sites are clustered, position specific score matrices (PSSMs) are constructed from the corresponding binding site alignments. Together with other measures, the PSSMs are subsequently used to rank binding sites to assess how well they match the query and to better gauge their biological relevance. The method also facilitates a succinct and informative representation of observed and inferred binding sites from homologs with known three-dimensional structures, thereby providing the means to analyze conservation and diversity of binding modes. Furthermore, the chemical properties of small molecules bound to the inferred binding sites can be used as a starting point in small molecule virtual screening. The method was validated by comparison to other binding site prediction methods and to a collection of manually curated binding site annotations. We show that our method achieves a sensitivity of 72% at predicting biologically relevant binding sites and can accurately discriminate those sites that bind biological small molecules from non-biological ones.ConclusionsA new algorithm has been developed to predict binding sites with high accuracy in terms of their biological validity. It also provides a common platform for function prediction, knowledge-based docking and for small molecule virtual screening. The method can be applied even for a query sequence without structure. The method is available at http://www.ncbi.nlm.nih.gov/Structure/ibis/ibis.cgi.

Molecular Consequences of the ACVR1R206H Mutation of Fibrodysplasia Ossificans Progressiva

Fibrodysplasia ossificans progressiva (FOP), a rare genetic and catastrophic disorder characterized by progressive heterotopic ossification, is caused by a point mutation, c.617G>A; p.R206H, in the activin A receptor type 1 (ACVR1) gene, one of the bone morphogenetic protein type I receptors (BMPR-Is). Although altered BMP signaling has been suggested to explain the pathogenesis, the molecular consequences of this mutation are still elusive. Here we studied the impact of ACVR1 R206H mutation on BMP signaling and its downstream signaling cascades in murine myogenic C2C12 cells and HEK 293 cells. We found that ACVR1 was the most abundant of the BMPR-Is expressed in mesenchymal cells but its contribution to osteogenic BMP signal transduction was minor. The R206H mutant caused weak activation of the BMP signaling pathway, unlike the Q207D mutant, a strong and constitutively active form. The R206H mutant showed a decreased binding affinity for FKBP1A/FKBP12, a known safeguard molecule against the leakage of transforming growth factor (TGF)-beta or BMP signaling. The decreased binding affinity of FKBP1A to the mutant R206H ACVR1 resulted in leaky activation of the BMP signal, and moreover, it decreased steady-state R206H ACVR1 protein levels. Interestingly, while WT ACVR1 and FKBP1A were broadly distributed in plasma membrane and cytoplasm without BMP-2 stimulation and then localized in plasma membrane on BMP-2 stimulation, R206H ACVR1 and FKBP1A were mainly distributed in plasma membrane regardless of BMP-2 stimulation. The impaired binding to FKBP1A and an altered subcellular distribution by R206H ACVR1 mutation may result in mild activation of osteogenic BMP-signaling in extraskeletal sites such as muscle, which eventually lead to delayed and progressive ectopic bone formation in FOP patients.

Conservation and Variation of Structural Flexibility in Protein Families

In this issue, Raimondi et al. (2010) obtained interesting insights concerning structural flexibilities in the Ras superfamily that are essential to both function retention and specialization by analyzing the deformation patterns from physical models of protein structure and from crystal structures of homologous proteins.

Detection of mutations in the FemXAB protein family in oxacillin-susceptible mecA-positive Staphylococcus aureus clinical isolates

Objectives Methicillin-resistant Staphylococcus aureus (MRSA) strains that express the mecA gene but are oxacillin susceptible (OS-MRSA; oxacillin MIC </=2 mg/L) are increasingly reported. To gain molecular and functional insights on this observation, we focused on additional factors possibly contributing to phenotypic susceptibility. Methods The nucleotide content of mecA, femA, femB and femX genes, which are considered essential for methicillin resistance, was determined in four OS-MRSA clinical isolates and a genetically similar low-level MRSA control (oxacillin MIC 6 mg/L). Gene expression was quantified compared with the low- and a high-level MRSA (MIC 256 mg/L) control. The tertiary structure of Fem proteins was predicted based on protein structure homology modelling, using web-based automated comparative protein modelling. Growth kinetics were tested for the study and control isolates, to determine whether FemXAB mutations lead to reduced fitness. Results Genes mecA, femA, femB and femX were expressed similarly in the study and the control isolates. Mutations in the gene mecA were not present in any isolate. However, several mutations leading to amino acid substitutions in positions possibly affecting Fem enzyme activity were detected in all fem genes. Two OS-MRSA that had no oxacillin heteroresistance had more mutations in the Fem proteins compared with the remaining isolates that were heteroresistant. The low-level MRSA control had considerably fewer mutations. No differences between growth rates of the OS-MRSA and the MRSA controls were observed. Conclusions Accumulation of amino acid changes in Fem proteins might affect intact cell wall synthesis, even though not causing reduced viability, thus contributing to atypical oxacillin responsiveness.

De Novo Protein Structure Prediction using Fragment Based Potential and Conformational Space Annealing

De novo prediction of the protein structure, the native structure of a protein from its sequence information when homologous protein structures are not available from the database, is one of the most challenging problems in biophysics. Here, we have employed a coarse-grained multi-body energy function approach. A sequence-specific continuous energy function is constructed from the structural and environmental information extracted from fragments. The original algorithm1 was coupled with Langevin molecular dynamics for searching low energy structures, and when applied to free modeling and hard template-based modeling targets from CASP7, the prediction results were quite comparable to existing methods. In this study, first, the conformational space annealing (CSA) method is implemented with the above-mentioned energy function. CSA has been quite efficient in searching diverse low-energy solutions in various multiple-minima problems. As expected, lower energy model structures are obtained by CSA over Langevin molecular dynamics approach. However, lower energy structures were not necessarily better in their structural quality. We have carried out energy function optimization by adjusting weight parameters of the function. Details of the parameter optimization as well as application of the newly obtained energy function to target proteins not included in the optimization will be provided.1. Sasaki TN, Cetin H, Sasai M: A coarse-grained Langevin molecular dynamics approach to de novo protein structure prediction. Biochem. Biophys. Res. Comm. 2008, 369:500-506.

Trypsin-like proteins of the fungi as possible markers of pathogenicity

Sequences of peptidases with conserved motifs around the active site residues that are characteristic of trypsins (similar to trypsin peptidases, STP) were obtained from publicly-available fungal genomes and related databases. Among the 75 fungal genomes, 29 species of parasitic Ascomycota contained genes encoding STP and their homologs. Searches of non-redundant protein sequences, patented protein sequences, and expressed sequence tags resulted in another 18 STP sequences in 10 fungal species from Ascomycota, Basidiomycota, and Zygomycota. A comparison of fungi species containing STP sequences revealed that almost all are pathogens of plants, animals or fungi. A comparison of the primary structure of homologous proteins, including the residues responsible for substrate binding and specificity of the enzyme, revealed three groups of homologous sequences, all presumably from S1 family: trypsin-like peptidases, chymotrypsin-like peptidases and serine peptidases with unknown substrate specificity. Homologs that are presumably functionally inactive were predicted in all groups. The results in general support the hypothesis that the expression of trypsin-like peptidases in fungi represents a marker of fungal phytopathogenicity. A phylogenetic tree was constructed using peptidase and homolog amino acid sequences, demonstrating that all have noticeable differences and almost immediately deviate from the common root. Therefore, we conclude that the changes that occurred in STP of pathogenic fungi in the course of evolution represent specific adaptations to proteins of their respective hosts, and mutations in peptidase genes are important components of life-style changes and taxonomic divergence.

PlnTFDB: updated content and new features of the plant transcription factor database

The Plant Transcription Factor Database (PlnTFDB; http://plntfdb.bio.uni-potsdam.de/v3.0/) is an integrative database that provides putatively complete sets of transcription factors (TFs) and other transcriptional regulators (TRs) in plant species (sensu lato) whose genomes have been completely sequenced and annotated. The complete sets of 84 families of TFs and TRs from 19 species ranging from unicellular red and green algae to angiosperms are included in PlnTFDB, representing >1.6 billion years of evolution of gene regulatory networks. For each gene family, a basic description is provided that is complemented by literature references, and multiple sequence alignments of protein domains. TF or TR gene entries include information of expressed sequence tags, 3D protein structures of homologous proteins, domain architecture and cross-links to other computational resources online. Moreover, the different species in PlnTFDB are linked to each other by means of orthologous genes facilitating cross-species comparisons.

Prodepth: Predict Residue Depth by Support Vector Regression Approach from Protein Sequences Only

Residue depth (RD) is a solvent exposure measure that complements the information provided by conventional accessible surface area (ASA) and describes to what extent a residue is buried in the protein structure space. Previous studies have established that RD is correlated with several protein properties, such as protein stability, residue conservation and amino acid types. Accurate prediction of RD has many potentially important applications in the field of structural bioinformatics, for example, facilitating the identification of functionally important residues, or residues in the folding nucleus, or enzyme active sites from sequence information. In this work, we introduce an efficient approach that uses support vector regression to quantify the relationship between RD and protein sequence. We systematically investigated eight different sequence encoding schemes including both local and global sequence characteristics and examined their respective prediction performances. For the objective evaluation of our approach, we used 5-fold cross-validation to assess the prediction accuracies and showed that the overall best performance could be achieved with a correlation coefficient (CC) of 0.71 between the observed and predicted RD values and a root mean square error (RMSE) of 1.74, after incorporating the relevant multiple sequence features. The results suggest that residue depth could be reliably predicted solely from protein primary sequences: local sequence environments are the major determinants, while global sequence features could influence the prediction performance marginally. We highlight two examples as a comparison in order to illustrate the applicability of this approach. We also discuss the potential implications of this new structural parameter in the field of protein structure prediction and homology modeling. This method might prove to be a powerful tool for sequence analysis.

English

Profilin plays a crucial role by directly linking actin cytoskeleton dynamics to various signal transduction pathways. Profilin has been well conserved during the evolution and can be found throughout the animal and plant kingdom. All known profilin are defined by common structural and biochemical properties and are known to interact with at least three types of ligands: they are complex with the G actin and actin – related proteins; interact with PLP presented either as a peptide or as a sequence motif within specific proteins (with the exception of vaccinia profilin), and bind to polyphosphoinositides. Profilin has different functional roles: Actin binding and membrane refluxes, regulation of phospholipase C-Y1, focal contacts, nuclear transport of proteins, allergen, and tumor suppression. A protein function is tightly linked to its tertiary structure and as a residue located far apart in the sequence can be very close in space, and only few residues are responsible for a proteins function, insights into the tertiary structure of a protein can represent a key component of the functional analysis process. The homology or comparative protein structure of profilin was obtained by optimization of molecular probability density function (pdf) using the software program MODELLER. A stable structure was obtained by fixing the atomic charges by CHARMM 22 force field, and minimizing the energy by conjugate gradient method (1000 iterations) using NAMD software. Proteinprotein docking was carried out with Vegazz for profilin dimer formation and profilin –ligand interactions were studied with Auto dock software programs. The in silico studies help in understanding the profilin monomeric interaction and its effect on PLP binding and polyphosphoinositide interactions, the two important processes which regulate number of signaling event.

A hybrid approach for indexing and searching protein structures

Searching for structural similarities of proteins has a central role in bioinformatics. Most tasks of bioinformatics depends on investigating the homologous protein's sequence or structure these tasks vary from predicting the protein structure to determine sites in protein structure where drug can be attached. Protein structure comparison problem is extremely important in many tasks. It can be used for determining function of protein, for clustering a given set of proteins by their structure, for assessment in protein fold prediction. Protein Structure Indexing using Suffix Array and Wavelet (PSISAW) is a hybrid approach that provides the ability to retrieve similarities of proteins based on their structures. Indexing the protein structure is one approach of searching for protein similarities. The suffix arrays are used to index protein structure and the wavelet is used to compress the indexed database. Compressing the indexed database is supposed to make the searching time faster and memory usage lower but it affects the accuracy with accepted rate of error.The experimental results, which are based on the structural classification of proteins (SCOP) dataset, show that the proposed approach outperforms existing similar techniques in memory utilization and searching speed. The results show an enhancement in the memory usage with factor 50%.

Structural Variations in Protein Superfamilies: Actin and Tubulin

Structures of homologous proteins are usually conserved during evolution, as are critical active site residues. This is the case for actin and tubulin, the two most important cytoskeleton proteins in eukaryotes. Actins and their related proteins (Arps) constitute a large superfamily whereas the tubulin family has fewer members. Unaligned sequences of these two protein families were analysed by searching for short groups of family-specific amino acid residues, that we call motifs, and by counting the number of residues from one motif to the next. For each sequence, the set of motif-to-motif residue counts forms a subfamily-specific pattern (landmark pattern) allowing actin and tubulin superfamily members to be identified and sorted into subfamilies. The differences between patterns of individual subfamilies are due to inserts and deletions (indels). Inserts appear to have arisen at an early stage in eukaryote evolution as suggested by the small but consistent kingdom-dependent differences found within many Arp subfamilies and in gamma-tubulins. Inserts tend to be in surface loops where they can influence subfamily-specific function without disturbing the core structure of the protein. The relatively few indels found for tubulins have similar positions to established results, whereas we find many previously unreported indel positions and lengths for the metazoan Arps.

Predicting Toll-like receptor structures and characterizing ligand binding.

Toll-like receptor (TLR) ligand-binding domains comprise 18-25 tandem copies of a 24-residue motif known as the leucine-rich repeat (LRR). Unlike other LRR proteins, TLRs contain significant numbers of non-consensus LRR sequences, which makes their identification by computer domain search programs problematic. Here, we provide methods for identifying non-consensus LRRs. Using the location of these LRRs, hypothetical models are constructed based on the known molecular structures of homologous LRR proteins. However, when a hypothetical model for TLR3 is compared with the molecular structure solved by x-ray crystallography, the solenoid curvature, planarity, and conformations of the LRR insertions are incorrectly predicted. These differences illustrate how non-consensus LRR motifs influence TLR structure. Since the determination of molecular structures by crystallography requires substantial amounts of protein, we describe methods for producing milligram amounts of TLR3 extracellular domain (ECD) protein. The recombinant TLR3-ECD previously used to solve the molecular structure of TLR3-ECD has also been used to study the binding of TLR3-ECD to its ligand, double-stranded RNA (dsRNA). In the last section, we describe the preparation of defined TLR3 ligands and present methods for characterizing their interaction with TLR3-ECD.

Sequence Analysis of the Full-length cDNA and Protein Structure Homology Modeling of FABP2 from Paralichthys Olivaceus.

Using zebrafish intestinal fatty acid-binding protein 2 (FABP2) mRNA sequence as the initial query probe, four highly homologous Paralichthys olivaceus EST sequences were retrieved from Genbank database. The assembled full-length cDNA contains the open reading frame of P. olivaceus FABP2 gene, which was validated by subsequent RT-PCR cloning. In the coding region, the average GC content is 56%, but it would reach 76.8% if only counting for the third base of the codons. The deduced P. olivaceus FABP2 polypeptide contains 132 amino acids (aa), with a predicted molecular size of 15.3 kD and pI at 6.74. This protein multiple-alignment has shown that this peptide is 75.7% identical to the corresponding homologous protein in Danio rerio. Among the 7 aa that are essential for FABP2 function, 3 were found to be conserved among P. olivaceus, Danio rerio, Tetraodon nigroviridi, Rattus norvegicus, and Homo sapiens. The study provides essential information on molecular evolution and function of FABP family.

Classic and atypical fibrodysplasia ossificans progressiva (FOP) phenotypes are caused by mutations in the bone morphogenetic protein (BMP) type I receptor ACVR1

Fibrodysplasia ossificans progressiva (FOP) is an autosomal dominant human disorder of bone formation that causes developmental skeletal defects and extensive debilitating bone formation within soft connective tissues (heterotopic ossification) during childhood. All patients with classic clinical features of FOP (great toe malformations and progressive heterotopic ossification) have previously been found to carry the same heterozygous mutation (c.617G>A; p.R206H) in the glycine and serine residue (GS) activation domain of activin A type I receptor/activin-like kinase 2 (ACVR1/ALK2), a bone morphogenetic protein (BMP) type I receptor. Among patients with FOP-like heterotopic ossification and/or toe malformations, we identified patients with clinical features unusual for FOP. These atypical FOP patients form two classes: FOP-plus (classic defining features of FOP plus one or more atypical features) and FOP variants (major variations in one or both of the two classic defining features of FOP). All patients examined have heterozygous ACVR1 missense mutations in conserved amino acids. While the recurrent c.617G>A; p.R206H mutation was found in all cases of classic FOP and most cases of FOP-plus, novel ACVR1 mutations occur in the FOP variants and two cases of FOP-plus. Protein structure homology modeling predicts that each of the amino acid substitutions activates the ACVR1 protein to enhance receptor signaling. We observed genotype-phenotype correlation between some ACVR1 mutations and the age of onset of heterotopic ossification or on embryonic skeletal development.

PDBalert: automatic, recurrent remote homology tracking and protein structure prediction

BackgroundDuring the last years, methods for remote homology detection have grown more and more sensitive and reliable. Automatic structure prediction servers relying on these methods can generate useful 3D models even below 20% sequence identity between the protein of interest and the known structure (template). When no homologs can be found in the protein structure database (PDB), the user would need to rerun the same search at regular intervals in order to make timely use of a template once it becomes available.ResultsPDBalert is a web-based automatic system that sends an email alert as soon as a structure with homology to a protein in the user's watch list is released to the PDB database or appears among the sequences on hold. The mail contains links to the search results and to an automatically generated 3D homology model. The sequence search is performed with the same software as used by the very sensitive and reliable remote homology detection server HHpred, which is based on pairwise comparison of Hidden Markov models.ConclusionPDBalert will accelerate the information flow from the PDB database to all those who can profit from the newly released protein structures for predicting the 3D structure or function of their proteins of interest.