Iterative model-building, structure refinement, and density modification with the PHENIX AutoBuild Wizard Thomas C. Terwilliger a* , Ralf W. Grosse-Kunstleve b , Pavel V. Afonine b , Nigel W. Moriarty b , Peter Zwart b , Li-Wei Hung a , Randy J. Read c , Paul D. Adams b* a b Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA Lawrence Berkeley National Laboratory, One Cyclotron Road, Bldg 64R0121, Berkeley, CA 94720, USA. c Department of Haematology, University of Cambridge, Cambridge CB2 0XY, UK. * Email: terwill@lanl.gov or PDAdams@lbl.gov Running title: The PHENIX AutoBuild Wizard Abstract The PHENIX AutoBuild Wizard is a highly automated tool for iterative model- building, structure refinement and density modification using RESOLVE or TEXTAL model- building, RESOLVE statistical density modification, and phenix.refine structure refinement. Recent advances in the AutoBuild Wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model completion algorithms, and automated solvent molecule picking. Model completion algorithms in the AutoBuild Wizard include loop-building, crossovers between chains in different models of a structure, and side-chain optimization. The AutoBuild Wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 A to 3.2 A, resulting in a mean R-factor of 0.24 and a mean free R factor of 0.29. The R-factor of the final model is dependent on the quality of the starting electron density, and relatively independent of resolution. Keywords: Model building; model completion; macromolecular models; Protein Data Bank; structure refinement; PHENIX Introduction Iterative model-building and refinement is a powerful approach to obtaining a complete and accurate macromolecular model. The approach consists of cycles of building an atomic model based on an electron density map for a macromolecular structure, refining the structure, using the refined structure as a basis for improving the map, and building a new model. This type of approach has been carried out in a semi-automated fashion for many years, with manual model-building iterating with automated refinement (Jensen, 1997). More recently, with the development first of ARP/wARP (Perrakis et al., 1999), and later other procedures including RESOLVE iterative model-building and refinement (Terwilliger,

Iterative model-building, structure refinement, and density modification with the PHENIX AutoBuild Wizard

Tumours display considerable variation in the patterning and properties of angiogenic blood vessels, as well as in their responses to anti-angiogenic therapy. Angiogenic programming of neoplastic tissue is a multidimensional process regulated by cancer cells in concert with a variety of tumour-associated stromal cells and their bioactive products, which encompass cytokines and growth factors, the extracellular matrix and secreted microvesicles. In this Review, we discuss the extrinsic regulation of angiogenesis by the tumour microenvironment, highlighting potential vulnerabilities that could be targeted to improve the applicability and reach of anti-angiogenic cancer therapies.

Microenvironmental regulation of tumour angiogenesis

During the past decade, proof of the principle that peptide receptors can be used successfully for in vivo targeting of human cancers has been provided. The molecular basis for targeting rests on the in vitro observation that peptide receptors can be expressed in large quantities in certain tumors. The clinical impact is at the diagnostic level: in vivo receptor scintigraphy uses radiolabeled peptides for the localization of tumors and their metastases. It is also at the therapeutic level: peptide receptor radiotherapy of tumors emerges as a serious treatment option. Peptides linked to cytotoxic agents are also considered for therapeutic applications. The use of nonradiolabeled, noncytotoxic peptide analogs for long-term antiproliferative treatment of tumors appears promising for only a few tumor types, whereas the symptomatic treatment of neuroendocrine tumors by somatostatin analogs is clearly successful. The present review summarizes and critically evaluates the in vitro data on peptide and peptide receptor expression in human cancers. These data are considered to be the molecular basis for peptide receptor targeting of tumors. The paradigmatic peptide somatostatin and its receptors are extensively reviewed in the light of in vivo targeting of neuroendocrine tumors. The role of the more recently described targeting peptides vasoactive intestinal peptide, gastrin-releasing peptide, and cholecystokinin/gastrin is discussed. Other emerging and promising peptides and their respective receptors, including neurotensin, substance P, and neuropeptide Y, are introduced. This information relates to established and potential clinical applications in oncology.

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Peptide receptors as molecular targets for cancer diagnosis and therapy.

Natural products to drugs: natural product derived compounds in clinical trials

Lipid metabolism, in particular the synthesis of fatty acids (FAs), is an essential cellular process that converts nutrients into metabolic intermediates for membrane biosynthesis, energy storage and the generation of signalling molecules. This Review explores how different aspects of FA synthesis promote tumorigenesis and tumour progression. FA synthesis has received substantial attention as a potential target for cancer therapy, but strategies to target this process have not yet translated into clinical practice. Furthermore, efforts to target this pathway must consider the influence of the tumour microenvironment.

The multifaceted roles of fatty acid synthesis in cancer

Modulation of mitochondrial respiration rate and calcium-induced swelling by new cromakalim analogues.

New dihydrobenzopyran, thiochroman, tetrahydroquinoleine and tetrahydronaphthalene derivatives and their use in anti-cancer therapy with the general formula (I).

Dihydrobenzopyran, thiochroman, tetrahydroquinoleine and tetrahydronaphtalene derivatives and their use in anticancer therapy

The title compound, C7H7N302S, was prepared for comparison with diazoxide, an antihypertensive agent, from a structural and pharmacological point of view. The crystal structure determination shows that the 4H (rather than 2H) tautomeric form is preferentially adopted by this pyridothiadiazine derivative in the solid state.

3-Methyl-4H-pyrido[2,3-e]-1,2,4-thiadiazine 1,1-dioxide

New dihydrobenzopyran, thiochroman, tetrahydroquinoleine and tetrahydronaphthalene derivatives and their use in anti-cancer therapy with the general formula :

Dihydrobenzopyran, thiochroman, tetrahydroquinoleine and tetrahydronaphthalene derivatives and their use in anti-cancer therapy

The present invention relates to novel and useful pharmaceutical compositions formulated with a cyclodextrin compound and a budesonide derivative for the treatment and/or prevention of pulmonary inflammatory disease. The present invention also relates to a novel and useful analytical technique for the detection and the quantification of HP-β-CD in solution. More specifically, the present invention relates to the use of a validated 1H NMR analysis for the detection and quantification of cyclodextrins directly in pharmaceutical formulations without any extraction or separation steps for liquid formulations.

Pascal De Tullio

Papers

Modulation of mitochondrial respiration rate and calcium-induced swelling by new cromakalim analogues.

Dihydrobenzopyran, thiochroman, tetrahydroquinoleine and tetrahydronaphtalene derivatives and their use in anticancer therapy

3-Methyl-4H-pyrido[2,3-e]-1,2,4-thiadiazine 1,1-dioxide

Dihydrobenzopyran, thiochroman, tetrahydroquinoleine and tetrahydronaphthalene derivatives and their use in anti-cancer therapy

Cyclodextrin and budesonide derivative compositions and methods