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Zbyszek Otwinowski

Publications and source records attributed to Zbyszek Otwinowski.

10 recordsLinked to original sources

From nonpeptide toward noncarbon protease inhibitors: metallacarboranes as specific and potent inhibitors of HIV protease.

HIV protease (PR) represents a prime target for rational drug design, and protease inhibitors (PI) are powerful antiviral drugs. Most of the current PIs are pseudopeptide compounds with limited bioavailability and stability, and their use is compromised by high costs, side effects, and development of resistant strains. In our search for novel PI structures, we have identified a group of inorganic compounds, icosahedral metallacarboranes, as candidates for a novel class of nonpeptidic PIs. Here, we report the potent, specific, and selective competitive inhibition of HIV PR by substituted metallacarboranes. The most active compound, sodium hydrogen butylimino bis-8,8-[5-(3-oxa-pentoxy)-3-cobalt bis(1,2-dicarbollide)]di-ate, exhibited a K(i) value of 2.2 nM and a submicromolar EC(50) in antiviral tests, showed no toxicity in tissue culture, weakly inhibited human cathepsin D and pepsin, and was inactive against trypsin, papain, and amylase. The structure of the parent cobalt bis(1,2-dicarbollide) in complex with HIV PR was determined at 2.15 A resolution by protein crystallography and represents the first carborane-protein complex structure determined. It shows the following mode of PR inhibition: two molecules of the parent compound bind to the hydrophobic pockets in the flap-proximal region of the S3 and S3' subsites of PR. We suggest, therefore, that these compounds block flap closure in addition to filling the corresponding binding pockets as conventional PIs. This type of binding and inhibition, chemical and biological stability, low toxicity, and the possibility to introduce various modifications make boron clusters attractive pharmacophores for potent and specific enzyme inhibition.

Aspartic Acid Endopeptidases↗

The structural genomics experimental pipeline: insights from global target lists.

Structural genomics (SG) initiatives are currently attempting to achieve the high-throughput determination of protein structures on a genome-wide scale. Here we analyze the SG target data that have been publicly released over a period of 16 months to assess the potential of the SG initiatives. We use statistical techniques most commonly applied in epidemiology to describe the dynamics of targets through the experimental SG pipeline. There is no clear bottleneck among the key stages of cloning, expression, purification and crystallization. An SG target will progress through each of these steps with a probability of approximately 45%. Around 80% of targets with diffraction data will yield a crystal structure, and 20% of targets with HSQC spectra will yield an NMR structure. We also find the overlaps among SG targets: 61% of SG protein sequences share at least 30% sequence identity with one or more other SG targets. There is no significant difference in average structure quality among SG structures and other structures in the PDB determined by "traditional" methods, but on average SG structures are deposited to the PDB twice as quickly after X-ray data collection.

Animals↗

The crystallographic fast Fourier transform. IV. FFT-asymmetric units in the reciprocal space.

New algorithms have been outlined for efficient calculation of the fast Fourier transform of data revealing crystallographic symmetries in previous papers by Rowicka, Kudlicki & Otwinowski [Acta Cryst. (2002), A58, 574-579; Acta Cryst. (2003), A59, 172-182; Acta Cryst. (2003), A59, 183-192]. The present paper deals with three implementation-related issues, which have not been discussed before. First, the shape of the FFT-asymmetric unit in the reciprocal space is discussed in detail. Next, a method is presented of reducing symmetry in-place, without the need to allocate memory for intermediate results. Finally, there is a discussion on how the algorithm can be used for the inverse Fourier transform. The results are derived for the case of the one-step symmetry reduction [Rowicka, Kudlicki & Otwinowski (2003). Acta Cryst. A59, 172-182]. The algorithms are also an important step in the more complicated cases of centered lattices [Rowicka, Kudlicki & Otwinowski (2003). Acta Cryst. A59, 183-192] and space groups with non-removable special positions, such as cubic groups [Rowicka, Kudlicki & Otwinowski (2004), in preparation]. In the present paper, as in our previous ones, complex-to-complex FFTs only are dealt with. Modifications needed to adapt the results to data with Hermitian symmetry will be described in our forthcoming article [Kudlicki, Rowicka & Otwinowski (2004), in preparation].

Crystallography↗

Measurement errors and their consequences in protein crystallography.

This article analyzes the relative impact of various types of measurement uncertainties on different stages of structure determination. The treatment of errors is an important part of the experimental process and becomes critical when data quality is barely sufficient to solve and/or answer detailed questions about the structure. The sources and types of experimental errors are described and methods of minimizing their impact are discussed. Practical calculations of sigma estimates in DENZO and SCALEPACK are presented.

Crystallography, X-Ray↗

Multiparametric scaling of diffraction intensities.

A novel and general approach to scaling diffraction intensities is presented. The method minimizes the disagreement among multiple measurements of symmetry-related reflections using a stable refinement procedure. The scale factors are described by a flexible exponential function that allows different scaling corrections to be chosen and combined according to the needs of the experiment. The scaling model presented here includes: scale and temperature factor per batch of data; temperature factor as a continuous function of the radiation dose; absorption in the crystal; uneven exposure within a single diffraction image; and corrections for phenomena that depend on the diffraction peak position on the detector. This scaling model can be extended to include additional corrections for various instrumental and data-collection problems.

Algorithms↗

The crystallographic fast Fourier transform. II. One-step symmetry reduction.

An algorithm for evaluation of the crystallographic FFT for 67 crystallographic space groups is presented. The symmetry is reduced in such a way that it is enough to calculate P1 FFT in the asymmetric unit only and then, in a computationally simpler step, recover the final result. The algorithm yields the maximal symmetry reduction for every space group considered. For the central step in the calculation consisting of general P1 FFTs, any generic fast Fourier subroutine can be used. The approach developed in this paper is an extension of the scheme derived for p3-symmetric data [Rowicka, Kudlicki & Otwinowski (2002). Acta Cryst. A58, 574-579]. Algorithms described here will also be used in our forthcoming papers [Rowicka, Kudlicki & Otwinowski (2003). Acta Cryst A59, 183-192; Rowicka, Kudlicki & Otwinowski (2003), in preparation], where more complicated groups will be considered.

Algorithms↗

The crystallographic fast Fourier transform. III. Centred lattices.

Algorithms for evaluation of the crystallographic FFT for centred lattices are presented. These algorithms can be applied to 80 space groups containing centring operators. For 44 of them, combining these algorithms with those described by Rowicka, Kudlicki & Otwinowski [Acta Cryst A59, 172-182] yields the maximal symmetry reduction. For other groups, new algorithms, to be presented in our forthcoming paper [Rowicka, Kudlicki & Otwinowski (2003), in preparation], are needed. The requirements on the grid size and how they interact with the choice of algorithms are also discussed in detail.

Algorithms↗

The crystallographic fast Fourier transform. I. p3 symmetry.

An algorithm for computing the discrete Fourier transform of data with threefold symmetry axes is presented. This algorithm is straightforward and easily implemented. It reduces the computational complexity of such a Fourier transform by a factor of 3. There are no restrictive requirements imposed on the initial data. Explicit formulae and a scheme of computing the Fourier transform are given. The algorithm has been tested and benchmarked against FFT on the unit cell, revealing the expected increase in speed. This is a non-trivial example of a more general approach developed recently by the authors.

Algorithms↗

Methodology and applications of automatic electron-density map interpretation by six-dimensional rotational and translational search for molecular fragments.

The electron density for a search fragment and for the crystal is expanded in the space of spherical harmonics Bessel functions. The fast rotation function is evaluated for each grid point to test if the fragment can be orientated there. For the best scoring points, the six-dimensional coordinates of the fragment are refined by the second-derivative block-diagonal procedure. The method is able to locate fragments precisely over a wide range of resolutions for structure types from small organic molecules to proteins.

Bacterial Proteins↗