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  2. Template modeling score - Wikipedia

    en.wikipedia.org/wiki/Template_modeling_score

    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] A quantitative study [3] shows that proteins of TM-score = 0.5 have a posterior probability of 37% in the same CATH topology family and of 13% in the same SCOP fold family. The ...

  3. T-Coffee - Wikipedia

    en.wikipedia.org/wiki/T-Coffee

    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.

  4. RAPTOR (software) - Wikipedia

    en.wikipedia.org/wiki/RAPTOR_(software)

    TM-score MaxSub-score GDT-score GHA-score 1 Zhang-Server 171 120.65 108.78 114.69 85.55 2 RAPTOR 171 116.13 104.69 110.79

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  7. I-TASSER - Wikipedia

    en.wikipedia.org/wiki/I-TASSER

    I-TASSER is a template-based method for protein structure and function prediction. [1] The pipeline consists of six consecutive steps: 1, Secondary structure prediction by PSSpred

  8. Structural alignment software - Wikipedia

    en.wikipedia.org/wiki/Structural_alignment_software

    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

  9. Root mean square deviation of atomic positions - Wikipedia

    en.wikipedia.org/wiki/Root_mean_square_deviation...

    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