نتایج جستجو برای: onobrychis vicifolia scop
تعداد نتایج: 1472 فیلتر نتایج به سال:
Summary: The F2CS server provides access to the software, F2CS2.00, that implements an automated prediction method of SCOP and CATH classifications of proteins, based on their FSSP Z-scores (Getz et al., 2002), Availability: Free, at http://www.weizmann.ac.il/physics/complex/compphys/f2cs/. Contact: [email protected] Supplementary information: The site contains links to additional fig...
When considering the prediction of a structural class for a protein as a classification problem, usually a classifier is based on a feature vector x ∈ R, where the features represent certain attributes of the primary sequence or derived properties (e.g., the predicted secondary structure) of a given protein. Since the structure of a protein (i.e., its native conformation) is stable only under s...
به منظور بهرهگیری از روشهای تجزیه و تحلیل چندمتغیره در بررسی تنوع ژنتیکی، تشخیص روابط بین صفات (مورفولوژیک، زراعی و فنولوژیکی) و تعیین صفات سهیم در توجیه تنوع عملکرد تودههای اسپرس بومی، آزمایشی با 30 جمعیت اسپرس در قالب طرح بلوک کاملاً تصادفی با 3 تکرار در مزرعۀ مرکز تحقیقات کشاورزی و منابع طبیعی آذربایجان غربی، در شهریور سال 1390 ـ 1391 انجام گرفت. جمعیتهای بررسی شده از نظر صفات زراعی اختلا...
The paper uses the SCOP theory of concepts to model the role of environmental context on three levels of entrepreneurial opportunity: idea generation, idea development, and entrepreneurial decision. The role of contextual-fit in the generation and development of ideas is modeled as the collapse of their superposition state into one of the potential states that composes this superposition. The p...
Digital Terrain Models (DTM) are topic of this paper. The SCOP approach uses hybrid DTMs which combines grid based and triangulated terrain models. A detailed discussion on interpolation and filter methods will be made as they can be employed, for example, to derive DTMs from laser scanning data. Additionally the database of SCOP and the integration into third-party software will be presented. ...
Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP classification, most discriminative machine learning suffers the well-known ‘False Positives’ problem when learning over these types of problems. We have devised eKISS, an ensemble machine learning specifically designed...
The Structural Classification of Proteins (SCOP) database has facilitated the development of many tools and algorithms and it has been successfully used in protein structure prediction and large-scale genome annotations. During the development of SCOP, numerous exceptions were found to topological rules, along with complex evolutionary scenarios and peculiarities in proteins including the abili...
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