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J David Lawson

Publications and source records attributed to J David Lawson.

7 recordsLinked to original sources
PubMed2004

DisProt: a database of protein disorder.

UNLABELLED: The Database of Protein Disorder (DisProt) is a curated database that provides structure and function information about proteins that lack a fixed three-dimensional (3D) structure under putatively native conditions, either in their entirety or in part. Starting from the central premise that intrinsic disorder is an important structural class of protein and in order to meet the increasing interest thereof, DisProt is aimed at becoming a central repository of disorder-related information. For each disordered protein, the database includes the name of the protein, various aliases, accession codes, amino acid sequence, location of the disordered region(s), and methods used for structural (disorder) characterization. If applicable, most entries also list the biological function(s) of each disordered region, how each region of disorder is used for function, as well as provide links to PubMed abstracts and major protein databases. AVAILABILITY: www.disprot.org

Amino Acid Sequence↗
PubMed2004

Protein flexibility and intrinsic disorder.

Comparisons were made among four categories of protein flexibility: (1) low-B-factor ordered regions, (2) high-B-factor ordered regions, (3) short disordered regions, and (4) long disordered regions. Amino acid compositions of the four categories were found to be significantly different from each other, with high-B-factor ordered and short disordered regions being the most similar pair. The high-B-factor (flexible) ordered regions are characterized by a higher average flexibility index, higher average hydrophilicity, higher average absolute net charge, and higher total charge than disordered regions. The low-B-factor regions are significantly enriched in hydrophobic residues and depleted in the total number of charged residues compared to the other three categories. We examined the predictability of the high-B-factor regions and developed a predictor that discriminates between regions of low and high B-factors. This predictor achieved an accuracy of 70% and a correlation of 0.43 with experimental data, outperforming the 64% accuracy and 0.32 correlation of predictors based solely on flexibility indices. To further clarify the differences between short disordered regions and ordered regions, a predictor of short disordered regions was developed. Its relatively high accuracy of 81% indicates considerable differences between ordered and disordered regions. The distinctive amino acid biases of high-B-factor ordered regions, short disordered regions, and long disordered regions indicate that the sequence determinants for these flexibility categories differ from one another, whereas the significantly-greater-than-chance predictability of these categories from sequence suggest that flexible ordered regions, short disorder, and long disorder are, to a significant degree, encoded at the primary structure level.

Amino Acid Sequence↗
PubMed2004

Molecular dynamics analysis of structural factors influencing back door pi release in myosin.

The back door has been proposed to be an exit pathway from the myosin active site for phosphate (P(i)) generated by adenosine 5'-triphosphate hydrolysis. We used molecular dynamics simulations to investigate the interaction of P(i) with the back door and the plausibility of P(i) release via this route. Molecular dynamics simulations were performed on the Dictyostelium motor domain with bound Mg.adenosine 5'-diphosphate (ADP) and P(i), modeled upon the Mg.ADP.BeF(x) and Mg.ADP.V(i) structures. Simulations revealed that the relaxation of ADP and free P(i) from their initial positions reduced the diameter of the back door via motions of switch 1 and switch 2 located in the upper and lower 50-kDa subdomains, respectively. In neither simulation could P(i) freely diffuse out the back door. Water molecules, however, could flux through the back door in the Mg.ADP.BeF(x)-based simulation but not in the Mg.ADP.V(i)-based simulation. In neither structure was water observed fluxing through the main (front door) entrance. These observations suggest that the ability of P(i) to leave via the back door is linked tightly to conformational changes between the upper and lower 50-kDa subdomains. The simulations offer structural explanations for (18)O-exchange with P(i) at the active site, and P(i) release being the rate-limiting step in the myosin adenosine 5'-triphosphatase.

Adenosine Diphosphate↗
PubMed2002

Structural model of the regulatory domain of smooth muscle heavy meromyosin.

The goal of this study was to provide structural information about the regulatory domains of double-headed smooth muscle heavy meromyosin, including the N terminus of the regulatory light chain, in both the phosphorylated and unphosphorylated states. We extended our previous photo-cross-linking studies (Wu, X., Clack, B. A., Zhi, G., Stull, J. T., and Cremo, C. R. (1999) J. Biol. Chem. 274, 20328-20335) to determine regions of the regulatory light chain that are cross-linked by a cross-linker attached to Cys(108) on the partner regulatory light chain. For this purpose, we have synthesized two new biotinylated sulfhydryl reactive photo-cross-linking reagents, benzophenone, 4-(N-iodoacetamido)-4'-(N-biotinylamido) and benzophenone, 4-(N-maleimido)-4'-(N-biotinylamido). Cross-linked peptides were purified by avidin affinity chromatography and characterized by Edman sequencing and mass spectrometry. Labeled Cys(108) from one regulatory light chain cross-linked to (71)GMMSEAPGPIN(81), a loop in the N-terminal half of the regulatory light chain, and to (4)RAKAKTTKKRPQR(16), a region for which there is no atomic resolution data. Both cross-links were to the partner regulatory light chain and occurred in unphosphorylated but not phosphorylated heavy meromyosin. Using these data, data from our previous study, and atomic coordinates from various myosin isoforms, we have constructed a structural model of the regulatory domain in an unphosphorylated double-headed molecule that predicts the general location of the N terminus. The implications for the structural basis of the phosphorylation-mediated regulatory mechanism are discussed.

Amino Acid Sequence↗
PubMed2002

Intrinsic disorder in cell-signaling and cancer-associated proteins.

The number of intrinsically disordered proteins known to be involved in cell-signaling and regulation is growing rapidly. To test for a generalized involvement of intrinsic disorder in signaling and cancer, we applied a neural network predictor of natural disordered regions (PONDR VL-XT) to four protein datasets: human cancer-associated proteins (HCAP), signaling proteins (AfCS), eukaryotic proteins from SWISS-PROT (EU_SW) and non-homologous protein segments with well-defined (ordered) 3D structure (O_PDB_S25). PONDR VL-XT predicts >or=30 consecutive disordered residues for 79(+/-5)%, 66(+/-6)%, 47(+/-4)% and 13(+/-4)% of the proteins from HCAP, AfCS, EU_SW, and O_PDB_S25, respectively, indicating significantly more intrinsic disorder in cancer-associated and signaling proteins as compared to the two control sets. The disorder analysis was extended to 11 additional functionally diverse categories of human proteins from SWISS-PROT. The proteins involved in metabolism, biosynthesis, and degradation together with kinases, inhibitors, transport, G-protein coupled receptors, and membrane proteins are predicted to have at least twofold less disorder than regulatory, cancer-associated and cytoskeletal proteins. In contrast to 44.5% of the proteins from representative non-membrane categories, just 17.3% of the cancer-associated proteins had sequence alignments with structures in the Protein Data Bank covering at least 75% of their lengths. This relative lack of structural information correlated with the greater amount of predicted disorder in the HCAP dataset. A comparison of disorder predictions with the experimental structural data for a subset of the HCAP proteins indicated good agreement between prediction and observation. Our data suggest that intrinsically unstructured proteins play key roles in cell-signaling, regulation and cancer, where coupled folding and binding is a common mechanism.

Amino Acid Sequence↗
PubMed2002

A novel restricted photoaffinity spin-labeled non-nucleoside ATP analogue as a covalently attached reporter group of the active site of Myosin subfragment 1.

The photoaffinity spin-labeled non-nucleoside ATP analogue, 2-(4-azido-2-nitrophenyl)amino-2,2-(1-oxyl-2,2,6,6-tetramethyl-4-piperidylidene)di(oxymethylene)ethyl triphosphate (SSL-NANTP), has been shown to be a substrate for skeletal mysoin subfragment 1 (S1) that can be photoincorporated at the active site of S1 [Chen, X., et al. (2000) Bioconjugate Chem. 11, 725-733]. Electron paramagnetic resonance spectroscopy shows that the probe undergoes restricted motion with respect to the protein. The parent compound, NANTP (2-[(4-azido-2-nitrophenyl)amino]ethyl triphosphate), is specifically photoincorporated at Trp-130 on the amino-terminal 23 kDa tryptic fragment in rabbit skeletal myosin. Surprisingly, amino acid sequence analysis shows that SSL-NANTP is photoincorporated on the carboxy-terminal 20 kDa tryptic fragment at Lys-681 on the side opposite Trp-130 in the nucleotide pocket. This is the first direct evidence showing that this residue in the 20 kDa tryptic fragment is close enough to the active site to be photolabeled by trapped ATP analogues. After actin treatment in the presence of MgATP, SSL-NANDP-labeled myosin S1 had normal ATPase activity, indicating that photolabeling did not significantly alter the enzymatic properties of S1. Photoincorporated SSL-NANDP was bound inside the nucleotide site of S1, with an effective concentration of 20 mM as judged by the concentration of MgADP needed to displace it. Molecular dynamics simulations suggest that the ability of NANTP and SSL-NANTP to photolabel different sites results from different orientations of the phenyl ring in the active site. For SSL-NANTP, the p-azido group on the phenyl ring points toward Lys-681. For NANTP, it points in the opposite direction toward Trp-130.

Adenosine Triphosphate↗