Global phylogeny determined by the combination of protein domains in proteomes

The majority of proteins consist of multiple domains that are either repeated or combined in defined order. In this study, we survey the combination of protein domains defined at fold and fold superfamily levels in 185 genomes belonging to organisms that have been fully sequenced and introduce a method that reconstructs rooted phylogenomic trees from the content and arrangement of domains in proteins at a genomic level. We find that the majority of domain combinations were unique to Archaea, Bacteria, or Eukarya, suggesting most combinations originated after life had diversified. Domain repeat and domain repeat within multidomain proteins increased notably in eukaryotes, mainly at the expense of single-domain and domain-pair proteins. This increase was mostly confined to Metazoa. We also find an unbalanced sharing of domain combinations which suggests that Eukarya is more closely related to Bacteria than to Archaea, an observation that challenges the widely assumed eukaryote-archaebacterial sisterhood relationship. The occurrence and abundance of the molecular repertoire (interactome) of domain combinations was used to generate phylogenomic trees. These global interactome-based phylogenies described organismal histories satisfactorily, revealing the tripartite nature of life, and supporting controversial evolutionary patterns, such as the Coelomata hypothesis, the grouping of plants and animals, and the Gram-positive origin of bacteria. Results suggest strongly that the process of domain combination is not random but curved by evolution, rejecting the null hypothesis of domain modules combining in the absence of natural selection or an optimality criterion.     

The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors

The function of proteins can often be inferred from their three-dimensional structures. Experimental structural biologists spent decades studying these structures, but the accelerated pace of protein sequencing continuously increases the gaps between sequences and structures. The early 2020s saw the advent of a new generation of deep learning-based protein structure prediction tools that offer the potential to predict structures based on any number of protein sequences.In this review, we give an overview of the impact of this new generation of structure prediction tools, with examples of the impacted field in the life sciences. We discuss the novel opportunities and new scientific and technical challenges these tools present to the broader scientific community. Finally, we highlight some potential directions for the future of computational protein structure prediction.     

Automatic generation and evaluation of sparse protein signatures for families of protein structural domains

We identified key residues from the structural alignment of families of protein domains from SCOP which we represented in the form of sparse protein signatures. A signature-generating algorithm (SigGen) was developed and used to automatically identify key residues based on several structural and sequence-based criteria. The capacity of the signatures to detect related sequences from the SWISSPROT database was assessed by receiver operator characteristic (ROC) analysis and jack-knife testing. Test signatures for families from each of the main SCOP classes are described in relation to the quality of the structural alignments, the SigGen parameters used, and their diagnostic performance. We show that automatically generated signatures are potently diagnostic for their family (ROC50 scores typically >0.8), consistently outperform random signatures, and can identify sequence relationships in the "twilight zone" of protein sequence similarity (<40%). Signatures based on 15%-30% of alignment positions occurred most frequently among the best-performing signatures. When alignment quality is poor, sparser signatures perform better, whereas signatures generated from higher-quality alignments of fewer structures require more positions to be diagnostic. Our validation of signatures from the Globin family shows that when sequences from the structural alignment are removed and new signatures generated, the omitted sequences are still detected. The positions highlighted by the signature often correspond (alignment specificity >0.7) to the key positions in the original (non-jack-knifed) alignment. We discuss potential applications of sparse signatures in sequence annotation and homology modeling.     

Distribution and function of new bacterial intein-like protein domains

Hint protein domains appear in inteins and in the C-terminal region of Hedgehog and Hedgehog-like animal developmental proteins. Intein Hint domains are responsible and sufficient for protein-splicing of their host-protein flanks. In Hedgehog proteins the Hint domain autocatalyses its cleavage from the N-terminal domain of the Hedgehog protein by attaching a cholesterol molecule to it. We identified two new types of Hint domains. Both types have active site sequence features of Hint domains but also possess distinguishing sequence features. The new domains appear in more than 50 different proteins from diverse bacteria, including pathogenic species of humans and plants, such as Neisseria meningitidis and Pseudomonas syringae. These new domains are termed bacterial intein-like (BIL) domains. Bacterial intein-like domains are present in variable protein regions and are typically flanked by domains that also appear in secreted proteins such as filamentous haemagglutinin and calcium binding RTX repeats. Phylogenetic and genomic analysis of BIL sequences suggests that they were positively selected for in different lineages. We cloned two BIL domains of different types and showed them to be active. One of the domains efficiently cleaved itself from its C-terminal flank and could also protein-splice its two flanks, in E. coli and in a cell free system. We discuss several possible biological roles for BIL domains including microevolution and post translational modification for generating protein variability.     

Mechanism of negative membrane curvature generation by I-BAR domains

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Vital functions of the malarial ookinete protein, CTRP, reside in the A domains

The transformation of malaria ookinetes into oocysts occurs in the mosquito midgut and is a major bottleneck for parasite transmission. The secreted ookinete surface protein, circumsporozoite- and thrombospondin-related adhesive protein (TRAP)-related protein (CTRP), is essential for this transition and hence constitutes a potential target for malaria transmission blockade. CTRP is a modular multidomain protein containing six tandem von Willebrand factor A-like (A) domains and seven tandem thrombospondin type I repeat-like (TS) domains. Here we present, to our knowledge, the first structure-function analysis of CTRP using genetically modified Plasmodium berghei parasites expressing mutant versions of the ctrp gene. Our data show that the A domains of CTRP are critical for ookinete gliding motility and oocyst formation whilst, unexpectedly, its TS domains are fully redundant. These results may have important implications for the design of CTRP-based transmission blocking strategies.     

Capturing protein tails by CAP-Gly domains

Cytoskeleton-associated protein-glycine-rich (CAP-Gly) domains are protein-interaction modules implicated in important cellular processes and in hereditary human diseases. A prominent function of CAP-Gly domains is to bind to C-terminal EEY/F-COO(-) sequence motifs present in alpha-tubulin and in some microtubule-associated protein tails; however, CAP-Gly domains also interact with other structural elements including end-binding homology domains, zinc-finger motifs and proline-rich sequences. Recent findings unravelled the link between tubulin tyrosination and CAP-Gly-protein recruitment to microtubules. They further provided a molecular basis for understanding the role of CAP-Gly domains in controlling dynamic cellular processes including the tracking and regulation of microtubule ends. It is becoming increasingly clear that CAP-Gly domains are also involved in coordinating complex and diverse aspects of cell architecture and signalling.     

A new method for modeling large-scale rearrangements of protein domains

A method for modeling large-scale rearrangements of protein domains connected by a single- or a double-stranded linker is proposed. Multidomain proteins may undergo substantial domain displacements, while their intradomain structure remains essentially unchanged. The method allows automatic identification of an interdomain linker and builds an all-atom model of a protein structure in internal coordinates. Torsion angles belonging to the interdomain linkers and side chains potentially able to form domain interfaces are set free while all remaining torsions, bond lengths, and bond angles are fixed. Large-scale sampling of the reduced torsion conformational subspace is effected with the “biased probability Monte Carlo-minimization” method [Abagyan, R.A., Totrov, M.M. (1994): J. Mol. Biol. 235, 983–1002]. Solvation and side-chain entropic contributions are added to the energy function. A special procedure has been developed to generate concerted deformations of a double-stranded interdomain linker in such a way that the polypeptide chain continuity is preserved. The method was tested on Bence-Jones protein with a single-stranded linker and lysine/arginine/ornithine-binding (LAO) protein with a double-stranded linker. For each protein, structurally diverse low-energy conformations with ideal covalent geometry were generated, and an overlap between two sets of conformations generated starting from the crystallographically determined “closed” and “open” forms was found. One of the low-energy conformations generated in a run starting from the LAO “closed” form was only 2.2 Å away from the structure of the “open” form. The method can be useful in predicting the scope of possible domain rearrangements of a multidomain protein. Proteins 27:410–424, 1997. © 1997 Wiley-Liss, Inc.     

KCHIP1蛋白的两个新功能域研究

Homo sapiens Kv channel interacting protein 1(KCHIP1)基因表达蛋白是新,发现的神经钙离子结合蛋白超家族中的一个新成员。本文利用定点突变和荧光定位等技术,证实KCHIP1蛋白具有钙离子结合域和肉豆蔻酰化位点两个显著的结构特点,同时发现了KCHIP1蛋白两个对肉豆蔻酰化有重要意义的肉豆蔻酰化位点G2A和G6A。     

Identification of protein domains by shotgun proteolysis

The identification of protein domains within multi-domain proteins is a persistent problem. Here, we describe an experimental method (shotgun proteolysis) based on random DNA fragmentation and protease selection of the encoded polypeptides on phage for this purpose. We applied the method to the Escherichia coli genome and identified 124 protease-resistant fragments; several were re-cloned for expression as soluble fragments in bacteria, and corresponded to autonomously folding units with folding energies similar to natural protein domains (DeltaG(u)=3.8-6.6 kcal/mol). Structural information was available for approximately half of the selected proteins, which corresponded to compact, globular and domain-sized units that had been derived from a wide range of protein superfamilies. Furthermore, boundaries of the selected fragments correlated with domain boundaries as defined by bioinformatics predictions (R2=0.82; p=0.016). However, predictions were incomplete or entirely lacking for the remaining fragments, reflecting the limited proteome coverage of current bioinformatics methods. Shotgun proteolysis therefore provides a means to identify domains and other autonomously folding units on a genome-wide scale, without any prior knowledge of sequence or structure. Shotgun proteolysis should be particularly valuable for structural studies of proteins and represents a high-throughput alternative to the classical limited proteolysis method for the isolation of stable components of multi-domain proteins.     

The three domains of the mitochondrial outer membrane protein Mim1 have discrete functions in assembly of the TOM complex

The assembly of mitochondrial outer membrane proteins is an essential process, mediated by the SAM complex and a set of additional protein modules. We show that one of these, Mim1, is anchored in the outer membrane with its N-terminus exposed to the cytosol and its C-terminus in the mitochondrial intermembrane space. Using an in vitro assay to measure the multi-step pathway for assembly of Tom40 into the TOM complex, we find that an “early reaction” mediated by the SAM complex is regulated by the N-terminal domain of Mim1. In addition, a “late reaction” catalysed by the Sam37 subunit of the SAM complex is also influenced by Mim1. Thus, Mim1 participates at multiple stages in the assembly of the TOM complex.