X-RAY CRYSTALLOGRAPHY OF MACROMOLECULES
大分子的 X 射线晶体学
基本信息
- 批准号:2701703
- 负责人:
- 金额:$ 30.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1996
- 资助国家:美国
- 起止时间:1996-05-01 至 1999-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This proposal is in response to the recent, dramatic expansion in the
fields of structural biology. Progress in genetics and biochemistry
created a need for precise stereochemical understanding of large numbers of
macromolecules. Progress in X-ray instrumentation and computing hardware
makes this possible. Based on our experience in developing the widely used
macromolecular X-ray crystallography HKL data reduction package (Denzo,
Scalepack, XdisplayF) we propose to further develop this area. The
specific aims of this proposal are:
1) to develop data reduction methods for imperfect crystals - highly
mosaic or twinned. it will be possible to index more than one diffraction
pattern in one detector image, calculate overlap between diffraction
patterns and correct for Bragg peak tails of reflection intruding upon
each other.
2) to expand the Multiwavelength Anomalous Dispersion (MAD) method to
cases where the signal-to-error ratio is currently insufficient for
structure determination. This will be accomplished by calibrating and
correcting for instrument response factors that now limit the MAD method to
well diffracting crystals with relatively high anomalous diffraction
signal.
3) to provide optimal data collection strategy by simulating in advance of
data collection the expected reciprocal space coverage and detector
resolution as a function of possible settings - data collection angles and
crystal-to-detector distance.
4) to provide real-time feedback by reducing data on-line and calculating
synthetic statistics. This is of particular significance to users of
synchrotron facilities who need to wait for months to repeat their
experiments.
5) to expand the range of the crystallographic experiments treated
optimally in data reduction by deconvolution of partially overlapping
reflections and 3-D profile fitting, to develop automatic and interactive
editing tools in order to minimize the influence of possible experimental
artifacts on the reduced data.
6) to expand methods to visually inspect the process of data collection
and data reduction from current direct visualization of raw data to
synthetic visual representation of factors affecting data quality - average
reflection profiles, de convolution integrals, crystal slippage, detector
response function and others.
7) to provide data base style organizational tools for the experimenter to
follow the entire crystallographic project. The data base will be used to
create unified reports - merging statistics, coverage, decay, slippage etc.
Lastly, all of the above developments will be integrated into one
efficient, simple to use computer and detector general software package.
The resulting software will increase precision and reliability of three-D
structures of macromolecules by x-ray crystallography, enable to solve
crystal structures too difficult to solve with the present methods, and
will speed-up, simplify and reduce the time and effort required of the
structure determination process, speeding up understanding of biological
systems and structure based drug design.
这一提议是为了回应最近在
项目成果
期刊论文数量(0)
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ZBYSZEK OTWINOWSKI其他文献
ZBYSZEK OTWINOWSKI的其他文献
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{{ truncateString('ZBYSZEK OTWINOWSKI', 18)}}的其他基金
From complex data to complex structures: new methods for structural biology
从复杂数据到复杂结构:结构生物学新方法
- 批准号:
10646399 - 财政年份:2022
- 资助金额:
$ 30.52万 - 项目类别:
From complex data to complex structures: new methods for structural biology
从复杂数据到复杂结构:结构生物学新方法
- 批准号:
10796695 - 财政年份:2022
- 资助金额:
$ 30.52万 - 项目类别:
From complex data to complex structures: new methods for structural biology
从复杂数据到复杂结构:结构生物学新方法
- 批准号:
10406223 - 财政年份:2022
- 资助金额:
$ 30.52万 - 项目类别:
Centers for High-Throughput Structure Determination
高通量结构测定中心
- 批准号:
8152869 - 财政年份:2010
- 资助金额:
$ 30.52万 - 项目类别: