In order to explore the resource utilization of the harmless treatment product(pork meat and bone meal,abbreviated PM)of pigs died of non-communicable diseases,the general nutritional components and amino acid composi...In order to explore the resource utilization of the harmless treatment product(pork meat and bone meal,abbreviated PM)of pigs died of non-communicable diseases,the general nutritional components and amino acid composition of PM and fish meal were determined and compared.The results showed that the contents of moisture,crude protein,crude fat and ash in PM and fish meal were 3.25%and 8.92%,66.65%and 66.67%,13.52%and 8.23%,18.25%and 21.50%,respectively.The contents of essential amino acids(EAA)in PM and fish meal were 19.94%and 22.35%,respectively.For PM and fish meal,the first limiting amino acid was Met(methionine)+Cys(cysteine),and the second limiting amino acid was Lys(lysine);their essential amino acid indexes(EAAI)were 66.60 and 77.04,respectively;and their delicious amino acid(DAA)contents were 26.89%and 23.15%,respectively.In summary,the meat and bone meal of pigs died of non-communicable diseases has the characteristics of high protein and low ash contents,and has certain development and utilization potential as a recycled waste resource,especially in aquatic feed to replace fish meal.展开更多
【目的/意义】探讨目前中国高校和科研机构与其世界上的主要合作伙伴在国际科技合作产出方面表现出的特点和趋势。【方法/过程】运用英国自然出版集团发布的自然合作指数(CS指数)以及Web of Science论文库作为数据来源进行研究。【结果...【目的/意义】探讨目前中国高校和科研机构与其世界上的主要合作伙伴在国际科技合作产出方面表现出的特点和趋势。【方法/过程】运用英国自然出版集团发布的自然合作指数(CS指数)以及Web of Science论文库作为数据来源进行研究。【结果/结论】在此基础上对比分析了自然指数排名优异的中国五所高校的国际科技合作情况,并就如何进一步加强中国高校与科研机构的国际科技合作提出了建议。展开更多
The three-dimensional structure of a biomolecule rather than its one-dimensionM sequence determines its biological function. At present, the most accurate structures are derived from experimental data measured mainly ...The three-dimensional structure of a biomolecule rather than its one-dimensionM sequence determines its biological function. At present, the most accurate structures are derived from experimental data measured mainly by two techniques： X-ray crystallog- raphy and nuclear magnetic resonance （NMR） spec- troscopy. Because neither X-ray crystallography nor NMR spectroscopy could directly measure the positions of atoms in a biomolecule, algorithms must be designed to compute atom coordinates from the data. One salient feature of most NMR structure computation algorithms is their reliance on stochastic search to find the lowest energy conformations that satisfy the experimentally- derived geometric restraints. However, neither the cor- rectness of the stochastic search has been established nor the errors in the output structures could be quantified. Though there exist exact algorithms to compute struc- tures from angular restraints, similar algorithms that use distance restraints remain to be developed. An important application of structures is rational drug design where protein-ligand docking plays a crit- ical role. In fact, various docking programs that place a compound into the binding site of a target protein have been used routinely by medicinal chemists for both lead identification and optimization. Unfortunately, de- spite ongoing methodological advances and some success stories, the performance of current docking algorithms is still data-dependent. These algorithms formulate the docking problem as a match of two sets of feature points. Both the selection of feature points and the search for the best poses with the minimum scores are accomplished through some stochastic search methods. Both the un- certainty in the scoring function and the limited sam- pling space attained by the stochastic search contribute to their failures. Recently, we have developed two novel docking algorithms： a data-driven docking algorithm and a general docking algorithm that does not rely on experimental data. Our algorithms search the pose space exhaustively with the pose space itself being limited to a set of hierarchical manifolds that represent, respectively, surfaces, curves and points with unique geometric and energetic properties. These algorithms promise to be es- pecially valuable for the docking of fragments and small compounds as well as for virtual screening.展开更多
基金Major Science and Technology Special Project in Hunan(2017NK1030)Earmarked Fund for China Agriculture Research System(CARS-45-48)。
文摘In order to explore the resource utilization of the harmless treatment product(pork meat and bone meal,abbreviated PM)of pigs died of non-communicable diseases,the general nutritional components and amino acid composition of PM and fish meal were determined and compared.The results showed that the contents of moisture,crude protein,crude fat and ash in PM and fish meal were 3.25%and 8.92%,66.65%and 66.67%,13.52%and 8.23%,18.25%and 21.50%,respectively.The contents of essential amino acids(EAA)in PM and fish meal were 19.94%and 22.35%,respectively.For PM and fish meal,the first limiting amino acid was Met(methionine)+Cys(cysteine),and the second limiting amino acid was Lys(lysine);their essential amino acid indexes(EAAI)were 66.60 and 77.04,respectively;and their delicious amino acid(DAA)contents were 26.89%and 23.15%,respectively.In summary,the meat and bone meal of pigs died of non-communicable diseases has the characteristics of high protein and low ash contents,and has certain development and utilization potential as a recycled waste resource,especially in aquatic feed to replace fish meal.
文摘【目的/意义】探讨目前中国高校和科研机构与其世界上的主要合作伙伴在国际科技合作产出方面表现出的特点和趋势。【方法/过程】运用英国自然出版集团发布的自然合作指数(CS指数)以及Web of Science论文库作为数据来源进行研究。【结果/结论】在此基础上对比分析了自然指数排名优异的中国五所高校的国际科技合作情况,并就如何进一步加强中国高校与科研机构的国际科技合作提出了建议。
文摘The three-dimensional structure of a biomolecule rather than its one-dimensionM sequence determines its biological function. At present, the most accurate structures are derived from experimental data measured mainly by two techniques： X-ray crystallog- raphy and nuclear magnetic resonance （NMR） spec- troscopy. Because neither X-ray crystallography nor NMR spectroscopy could directly measure the positions of atoms in a biomolecule, algorithms must be designed to compute atom coordinates from the data. One salient feature of most NMR structure computation algorithms is their reliance on stochastic search to find the lowest energy conformations that satisfy the experimentally- derived geometric restraints. However, neither the cor- rectness of the stochastic search has been established nor the errors in the output structures could be quantified. Though there exist exact algorithms to compute struc- tures from angular restraints, similar algorithms that use distance restraints remain to be developed. An important application of structures is rational drug design where protein-ligand docking plays a crit- ical role. In fact, various docking programs that place a compound into the binding site of a target protein have been used routinely by medicinal chemists for both lead identification and optimization. Unfortunately, de- spite ongoing methodological advances and some success stories, the performance of current docking algorithms is still data-dependent. These algorithms formulate the docking problem as a match of two sets of feature points. Both the selection of feature points and the search for the best poses with the minimum scores are accomplished through some stochastic search methods. Both the un- certainty in the scoring function and the limited sam- pling space attained by the stochastic search contribute to their failures. Recently, we have developed two novel docking algorithms： a data-driven docking algorithm and a general docking algorithm that does not rely on experimental data. Our algorithms search the pose space exhaustively with the pose space itself being limited to a set of hierarchical manifolds that represent, respectively, surfaces, curves and points with unique geometric and energetic properties. These algorithms promise to be es- pecially valuable for the docking of fragments and small compounds as well as for virtual screening.
