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The TM-score indicates the similarity between two structures by a score between (,], where 1 indicates a perfect match between two structures (thus the higher the better). [1] Generally scores below 0.20 corresponds to randomly chosen unrelated proteins whereas structures with a score higher than 0.5 assume roughly the same fold. [ 2 ]
Transitive Consistency Score (TCS) is an extended version of the T-Coffee scoring scheme. [14] It uses T-Coffee libraries of pairwise alignments to evaluate any third party MSA. Pairwise projections can be produced using fast or slow methods, thus allowing a trade-off between speed and accuracy.
TM-align TM-score based protein structure alignment: Cα: Pair: nil: server and download: Y. Zhang & J. Skolnick: 2005 mTM-align Multiple protein structure alignment based on TM-align Cα Multi No server and download: R. Dong, Z. Peng, Y. Zhang & J. Yang 2018 VAST Vector Alignment Search Tool: SSE: Pair: nil: server: S. Bryant: 1996 PrISM
TM-score – a different structure comparison measure; Longest continuous segment (LCS) — A different structure comparison measure; Global distance calculation (GDC_sc, GDC_all) — Structure comparison measures that use full-model information (not just α-carbon) to assess similarity
Max in TM-score equation. It would be helpful to explain what this max is taken over. Aviad.rubinstein 21:25, 30 ... Statistics; Cookie statement; Mobile view ...
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If the null hypothesis is true, the likelihood ratio test, the Wald test, and the Score test are asymptotically equivalent tests of hypotheses. [8] [9] When testing nested models, the statistics for each test then converge to a Chi-squared distribution with degrees of freedom equal to the difference in degrees of freedom in the two models. If ...
In probability theory and statistics, the moment-generating function of a real-valued random variable is an alternative specification of its probability distribution.Thus, it provides the basis of an alternative route to analytical results compared with working directly with probability density functions or cumulative distribution functions.