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  2. Template modeling score - Wikipedia

    en.wikipedia.org/wiki/Template_modeling_score

    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]

  3. Needleman–Wunsch algorithm - Wikipedia

    en.wikipedia.org/wiki/Needleman–Wunsch_algorithm

    The diagonal top-left neighbor has score 0. The pairing of G and G is a match, so add the score for match: 0+1 = 1; The top neighbor has score1 and moving from there represents an indel, so add the score for indel: (−1) + (−1) = (−2) The left neighbor also has score1, represents an indel and also produces (−2).

  4. Global distance test - Wikipedia

    en.wikipedia.org/wiki/Global_distance_test

    By the original design the GDT algorithm calculates 20 GDT scores, i.e. for each of 20 consecutive distance cutoffs (0.5 Å, 1.0 Å, 1.5 Å, ... 10.0 Å). [2] For structure similarity assessment it is intended to use the GDT scores from several cutoff distances, and scores generally increase with increasing cutoff.

  5. Talk:Template modeling score - Wikipedia

    en.wikipedia.org/wiki/Talk:Template_modeling_score

    Max in TM-score equation. It would be helpful to explain what this max is taken over. Aviad.rubinstein 21:25, 30 July 2021 (UTC) This page was ...

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  7. FASTA - Wikipedia

    en.wikipedia.org/wiki/FASTA

    The highest score is referred to as init1 score. In an alignment if several initial regions with scores greater than a CUTOFF value are found, check whether the trimmed initial regions can be joined to form an approximate alignment with gaps. Calculate a similarity score that is the sum of the joined regions penalising for each gap 20 points.

  8. Score test - Wikipedia

    en.wikipedia.org/wiki/Score_test

    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.

  9. List of alignment visualization software - Wikipedia

    en.wikipedia.org/wiki/List_of_alignment...

    The rest of this article is focused on only multiple global alignments of homologous proteins. The first two are a natural consequence of most representations of alignments and their annotation being human-unreadable and best portrayed in the familiar sequence row and alignment column format, of which examples are widespread in the literature.