bPE toolkit: toolkit for computational protein engineering

We present a computational toolkit consisting of five utility tools, for performing basic operations on a protein structure file in PDB format. The toolkit consists of five different programs which can be integrated as part of a pipeline for computational protein structure characterization or as a standalone analysis package. The programs include tools for chirality check for amino acids (ProChiral), contact map generation (CoMa), data redundancy (DaRe), hydrogen bond potential energy (HyPE) and electrostatic interaction energy (EsInE). All programs in the toolkit can be accessed and downloaded through the following link: http://www.iitg.ac.in/bpetoolkit/.     

A new family of global protein shape descriptors

A family of global geometric measures is constructed for protein structure classification. These measures originate from integral formulas of Vassiliev knot invariants and give rise to a unique classification scheme. Our measures can better discriminate between many known protein structures than the simple measures of the secondary structure content of these protein structures.     

A new tool for G protein analysis.

G proteins play a pivotal role in cellular signaling by acting as molecular switches that undergo conformational changes upon binding GTP. The primary sequence constituting the binding cleft among the >160 G proteins in the human genome is highly conserved, consistent with the fact that these proteins share similar guanine nucleotide-binding characteristics. Recent work has demonstrated the feasibility of designing new analogs of GTP that can specifically activate G proteins whose nucleotide-binding sites have been remodeled through mutagenesis. This strategy has the potential to provide new insights into how G proteins act as molecular switches that engage their downstream target/effector proteins to generate specific signaling outputs.     

A linkage analysis toolkit for studying allosteric networks in ion channels

A thermodynamic approach to studying allosterically regulated ion channels such as the large-conductance voltage- and Ca²⁺-dependent (BK) channel is presented, drawing from principles originally introduced to describe linkage phenomena in hemoglobin. In this paper, linkage between a principal channel component and secondary elements is derived from a four-state thermodynamic cycle. One set of parallel legs in the cycle describes the “work function,” or the free energy required to activate the principal component. The second are “lever operations” activating linked elements. The experimental embodiment of this linkage cycle is a plot of work function versus secondary force, whose asymptotes are a function of the parameters (displacements and interaction energies) of an allosteric network. Two essential work functions play a role in evaluating data from voltage-clamp experiments. The first is the conductance Hill energy W_H[g], which is a “local” work function for pore activation, and is defined as kT times the Hill transform of the conductance (G-V) curve. The second is the electrical capacitance energy W_C[q], representing “global” gating charge displacement, and is equal to the product of total gating charge per channel times the first moment (V_M) of normalized capacitance (slope of Q-V curve). Plots of W_H[g] and W_C[q] versus voltage and Ca²⁺ potential can be used to measure thermodynamic parameters in a model-independent fashion of the core gating constituents (pore, voltage-sensor, and Ca²⁺-binding domain) of BK channel. The method is easily generalized for use in studying other allosterically regulated ion channels. The feasibility of performing linkage analysis from patch-clamp data were explored by simulating gating and ionic currents of a 17-particle model BK channel in response to a slow voltage ramp, which yielded interaction energies deviating from their given values in the range of 1.3 to 7.2%.     

Mdt1/ASCIZ: A new DNA damage response protein family

DNA damage response pathways are crucial for genome stability and prevention of cancer, and are overall remarkably conserved from yeast to mammals. Two novel DNA damage response proteins, yeast Mdt1 (Modifier of DNA damage tolerance 1) and human ASCIZ (ATM/ATR-substrate Chk2-interacting Zn2+-finger protein), were recently identified based on their interactions with the N-terminal FHA domains of the conserved checkpoint kinases Rad53 and Chk2, respectively, and ASCIZ was subsequently re-isolated as an ATM-interacting protein (ATMIN). Mdt1 and ASCIZ share remarkable sequence similarity (36% highly conserved residues, 17% identity) and extended SQ/TQ cluster domains (SCDs) typical of DNA damage response proteins. However, despite their structural similarities and conserved interactions with the checkpoint machinery, the two proteins seem to respond to different DNA lesions: the strongest phenotypes of ASCIZ deficiency are increased sensitivity to DNA base damaging agents and altered immunoglobulin gene diversification following enzyme-induced base damage in B lymphocytes, whereas absence of Mdt1 leads to hypersensitivity to 3'-blocked DNA double-strand breaks and inefficient recombinational maintenance of telomeres. The Mdt1/ASCIZ family may function as structurally related scaffolds that facilitate efficient DNA repair, albeit with diverged lesion specificity.     

A phylogenetic analysis of the lipocalin protein family

The lipocalins are a family of extracellular proteins that bind and transport small hydrophobic molecules. They are found in eubacteria and a great variety of eukaryotic cells, in which they play diverse physiological roles. We report here the detection of two new eukaryotic lipocalins and a phylogenetic analysis of 113 lipocalin family members performed with maximum-likelihood and parsimony methods on their amino acid sequences. Lipocalins segregate into 13 monophyletic clades, some of which are grouped in well-supported superclades. An examination of the G + C content of the bacterial lipocalin genes and the detection of four new conceptual lipocalins in other eubacterial species argue against a recent horizontal transfer as the origin of prokaryotic lipocalins. Therefore, we rooted our lipocalin tree using the clade containing the prokaryotic lipocalins. The topology of the rooted lipocalin tree is in general agreement with the currently accepted view of the organismal phylogeny of arthropods and chordates. The rooted tree allows us to assign polarity to character changes and suggests a plausible scenario for the evolution of important lipocalin properties. More recently evolved lipocalins tend to (1) show greater rates of amino acid substitutions, (2) have more flexible protein structures, (3) bind smaller hydrophobic ligands, and (4) increase the efficiency of their ligand-binding contacts. Finally, we found that the family of fatty-acid-binding proteins originated from the more derived lipocalins and therefore cannot be considered a sister group of the lipocalin family.     

Human 76p: A new member of the gamma-tubulin-associated protein family

The role of the centrosomes in microtubule nucleation remains largely unknown at the molecular level. gamma-Tubulin and the two associated proteins h103p (hGCP2) and h104p (hGCP3) are essential. These proteins are also present in soluble complexes containing additional polypeptides. Partial sequencing of a 76- kD polypeptide band from these complexes allowed the isolation of a cDNA encoding for a new protein (h76p = hGCP4) expressed ubiquitously in mammalian tissues. Orthologues of h76p have been characterized in Drosophila and in the higher plant Medicago. Several pieces of evidence indicate that h76p is involved in microtubule nucleation. (1) h76p is localized at the centrosome as demonstrated by immunofluorescence. (2) h76p and gamma-tubulin are associated in the gamma-tubulin complexes. (3) gamma-tubulin complexes containing h76p bind to microtubules. (4) h76p is recruited to the spindle poles and to Xenopus sperm basal bodies. (5) h76p is necessary for aster nucleation by sperm basal bodies and recombinant h76p partially replaces endogenous 76p in oocyte extracts. Surprisingly, h76p shares partial sequence identity with human centrosomal proteins h103p and h104p, suggesting a common protein core. Hence, human gamma-tubulin appears associated with at least three evolutionary related centrosomal proteins, raising new questions about their functions at the molecular level.     

DIVERGE: phylogeny-based analysis for functional-structural divergence of a protein family

SUMMARY: DetectIng Variability in Evolutionary Rates among GEnes (DIVERGE) is a software system to study functional divergence of a protein family by detecting site-specific change in evolutionary rate using a multiple alignment of amino acid sequences for a given phylogenetic tree. The program first conducts a statistical test for site-specific rate shifts along the tree, and predicting candidate amino acid residues responsible for functional divergence based on posterior analysis. These results can then be mapped on the 3D protein structure if available. AVAILABILITY: DIVERGE is available free of charge from http://xgu1.zool.iastate.edu/. Distribution packages for both Linux and Microsoft Windows operating systems are available, including manual and example files.     

PDB@: An offline toolkit for exploration and analysis of PDB files

Protein Data Bank (PDB) is a freely accessible archive of the 3-D structural data of biological molecules. Structure based studies offers a unique vantage point in inferring the properties of a protein molecule from structural data. This is too big a task to be done manually. Moreover, there is no single tool, software or server that comprehensively analyses all structure-based properties. The objective of the present work is to develop an offline computational toolkit, PDB@ containing in-built algorithms that help categorizing the structural properties of a protein molecule. The user has the facility to view and edit the PDB file to his need. Some features of the present work are unique in itself and others are an improvement over existing tools. Also, the representation of protein properties in both graphical and textual formats helps in predicting all the necessary details of a protein molecule on a single platform.     

A toolkit for graded expression of green fluorescent protein fusion proteins in mammalian cells

Green fluorescent protein (GFP) and GFP-like proteins of different colors are important tools in cell biology. In many studies, the intracellular targeting of proteins has been determined by transiently expressing GFP fusion proteins and analyzing their intracellular localization by fluorescence microscopy. In most vectors, expression of GFP is driven by the enhancer/promoter cassette of the immediate early gene of human cytomegalovirus (hCMV). This cassette generates high levels of protein expression in most mammalian cell lines. Unfortunately, these nonphysiologically high protein levels have been repeatedly reported to artificially alter the intracellular targeting of proteins fused to GFP. To cope with this problem, we generated a multitude of attenuated GFP expression vectors by modifying the hCMV enhancer/promoter cassette. These modified vectors were transiently expressed, and the expression levels of enhanced green fluorescent protein (EGFP) alone and enhanced yellow fluorescent protein (EYFP) fused to another protein were determined by fluorescence microscopy and/or Western blotting. As shown in this study, we were able to (i) clearly reduce the expression of EGFP alone and (ii) reduce expression of an EYFP fusion protein down to the level of the endogenous protein, both in a graded manner.     

The early bird catches the worm: new technologies for the Caenorhabditis elegans toolkit

The inherent simplicity of Caenorhabditis elegans and its extensive genetic toolkit make it ideal for studying complex biological processes. Recent developments further increase the usefulness of the worm, including new methods for: altering gene expression, altering physiology using optogenetics, manipulating large numbers of worms, automating laborious processes and processing high-resolution images. These developments both enhance the worm as a model for studying processes such as development and ageing and make it an attractive model in areas such as neurobiology and behaviour.     

R-spondin：一个新的Wnt信号通路相关蛋白家族的研究进展

R-spondin（Rspo）是近年来新发现的蛋白家族,包括4个成员（Rspo1～4）。已报道Rspo蛋白家族所有成员均为分泌性蛋白,均有两个富含半胱氨酸的furin-like结构域、1个TSP1结构域和富含碱性氨基酸的C端区域。Rspos通过激活并协同Wnt/β-catenin信号通路参与对细胞增殖和分化的调控,影响骨骼、肌肉、血管等组织的发育以及肢体和性腺的形成,并在多种疾病的发生过程中起重要作用。该文结合最新研究进展,就Rspo家族蛋白的结构、主要功能及其对经典Wnt信号通路的调控机理做一综述。     

A new family of powerful multivariate statistical sequence analysis techniques

A novel multivariate statistical approach is presented for extracting and exploiting intrinsic information present in our ever-growing sequence data banks. The information extraction from the sequences avoids the pitfalls of intersequence alignment by analyzing secondary invariant functions derived from the sequences in the data bank rather than the sequences themselves. Such typical invariant function is a 20 x 20 histogram of occurrences of amino acid pairs in a given sequence or fragment thereof. To illustrate the potential of the approach an analysis of 10,000 protein sequences from the National Biomedical Research Foundation Protein Identification Resource is presented, whose analysis already reveals great biological detail. For example, zeta-hemoglobin is found to lie close to amphibian and fish chi-hemoglobin which, in turn, is an important clue to the physiological function of this mammalian early embryonic hemoglobin. The multivariate statistical framework presented unifies such apparently unrelated issues as phylogenetic comparisons between a set of sequences and distance matrices between the constituents of the biological sequences. The Multivariate Statistical Sequence Analysis (MSSA) principles can be used for a wide spectrum of sequence analysis problems such as: assignment of family memberships to new sequences, validation of new incoming sequences to be entered into the database, prediction of structure from sequence, discrimination of coding from non-coding DNA regions, and automatic generation of an atlas of protein or DNA sequences. The MSSA techniques represent a self-contained approach to learning continuously and automatically from the growing stream of new sequences. The MSSA approach is particularly likely to play a significant role in major sequencing efforts such as the human genome project.     

EyeChem 1.0: A modular chemistry toolkit for collaborative molecular visualization

EyeChem is a network-aware and modular molecular visualisation toolkit used within the Iris Explorer Visualization program. Use of the toolkit is illustrated via four typical EyeChem applications, which consist of Explorer maps constructed from chemically oriented modules and developed for use over the new generation of fast networks such as the UK SuperJanet system. EyeChem can also be used to prepare multimedia style visualizations in Quicklime or M PEG format of molecular properties and wavefunctions for archiving via the gopher⁺ wide area information system. The use of such information in electronic publishing of chemical information is discussed.