[摘要]研究人员描述了一种用来设计蛋白的计算方法，蛋白设计物能结合到大分子标的物表面上一个区域。
We describe a general computational method for designing proteins that bind a surface patch of interest on a target macromolecule.
最富用应用前景的中枢神经系统药物开发的新方向集中在作用一种以上的分子目标的疗法上。
The most promising new direction for CNS (central nervous system) drug development appears to be focusing on treatments that act on more than one molecular target.
设计药物的研制，必将建立在以疾病过程中受损的分子途径为主要目标的基因组方法基础上。
The development of designer drugs will be based on a genomic approach to targeting molecular pathways that are disrupted in disease.
与这些指标的分子间相互作用影响的化合物在生物系统的分布和调节生理功能。
Interaction of the molecules with these targets affects the distribution of the compound in biological systems and modulates biological function.
所有这些基因都负责熟知的药品（诸如抗抑郁药、精神抑制药与包括百忧解、舒马曲坦与安理申等在内的止疼片）的分子靶标的编码。
The genes all encode molecular targets of well-known pharmaceuticals, such as antidepressants, antipsychotics and pain relievers including Prozac, Imitrex, and Aricept.
MHCI类四聚体是由4个MHC I类复合物和一个带有荧光标的亲和素分子组成的。
An MHC class I tetramer was composed of 4 MHC class I complexes and a fluorescently labeled streptavidin molecule.
现对化学基因组学研究的典型方法，以及对基于药物作用靶标的分子设计的影响作一介绍。
This article introduces the typical methods of chemogenomics research and its effect on molecular designing in view of target.
以t抗原为攻击目标的小分子rna在感染周期的最后环节才会产生，而这时t抗原已经不再是病毒繁殖的必须条件。
Conveniently, the microRNA that targets t antigen is made late in the infectious cycle, just when t antigen is no longer essential for virus replication.
本文首先介绍了dna计算的基本思想，然后介绍发夹结构在解决SAT问题上的应用，再介绍发夹结构的一种特殊形式-分子信标的原理和设计方法。
Basic thinking of DNA computing is introduced in this paper, then the solution of SAT problem is introduced. After this, we introduce the principle and design of molecular beacons.
筛选准药物分子作用标的之平台技术与癌症基因晶片。
The platform technology for drugs and lead screening and the cancer diagnostic biochips.
选择影响指标的主要工艺参数作为决策变量，以产品理想分子量分布为目标，采用序贯二次规划(SQP)算法对缩聚生产过程进行优化控制。
Selecting main operating parameters as decision variables and desired WMD as control goal, polycondensation production process is controlled by sequential quadratic programming (SQP) algorithm.
选择影响指标的主要工艺参数作为决策变量，以产品理想分子量分布为目标，采用序贯二次规划(SQP)算法对缩聚生产过程进行优化控制。
Selecting main operating parameters as decision variables and desired WMD as control goal, polycondensation production process is controlled by sequential quadratic programming (SQP) algorithm.
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