نتایج جستجو برای: rosetta
تعداد نتایج: 1746 فیلتر نتایج به سال:
We recently developed the Rosetta algorithm for ab initio protein structure prediction, which generates protein structures from fragment libraries using simulated annealing. The scoring function in this algorithm favors the assembly of strands into sheets. However, it does not discriminate between different sheet motifs. After generating many structures using Rosetta, we found that the folding ...
Bacterially-produced small molecules exert profound influences on animal health, morphogenesis, and evolution through poorly understood mechanisms. In one of the closest living relatives of animals, the choanoflagellate Salpingoeca rosetta, we find that rosette colony development is induced by the prey bacterium Algoriphagus machipongonensis and its close relatives in the Bacteroidetes phylum. ...
Comets contain the best-preserved material from the beginning of our planetary system. Their nuclei and comae composition reveal clues about physical and chemical conditions during the early solar system when comets formed. ROSINA (Rosetta Orbiter Spectrometer for Ion and Neutral Analysis) onboard the Rosetta spacecraft has measured the coma composition of comet 67P/Churyumov-Gerasimenko with w...
Despite decades of work by structural biologists, there are still ~5200 protein families with unknown structure outside the range of comparative modeling. We show that Rosetta structure prediction guided by residue-residue contacts inferred from evolutionary information can accurately model proteins that belong to large families and that metagenome sequence data more than triple the number of p...
In CASP11 we generated protein structure models using simulated ambiguous and unambiguous nuclear Overhauser effect (NOE) restraints with a two stage protocol. Low resolution models were generated guided by the unambiguous restraints using continuous chain folding for alpha and alpha-beta proteins, and iterative annealing for all beta proteins to take advantage of the strand pairing information...
Résumé. Les fonctions biologiques dans la cellule mettent en jeu des interactions 3D entre protéines et ARN. Les avancées des techniques exérimentales restent insuffisantes pour de nombreuse applications. Il faut alors pouvoir prédire in silico les interactions protéine-ARN. Dans ce contexte, nos travaux sont focalisés sur la construction de fonctions de score permettant d’ordonner les solution...
soil hydraulic properties such as soil water characteristic curve are necessary prerequisite for modeling water movement and solute transport. direct methods of estimating these hydraulic properties are time consuming and costly. indirect methods, such as pedotransfer functions, estimate the hydraulic parameters using easy-to-measure soil properties like particle size distributions, bulk densit...
To make potato production more sustainable for smallholder farmers, product diversification through processing is critical. On the other hand, sector mandated some stringent standards in order to maintain quality, hence quality evaluations are required chip industries. Specific gravity, starch, reducing sugars, tuber dry matter, and color all important characteristics consider processing. This ...
Brief summary: This study reveals a Deep Learning method, ?RoseTTA fold?, based on DeepMind?s Alphafold2 framework, to predict 3-dimensional protein structures from 1-dimensional sequence information and generate models of protein?protein complexes with high accuracy.
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