… a knowledge-based loop prediction method that … loop libraries. The method first predicts
local structural fragments of a query loop sequence and then structurally aligns the predicted …

… From the results presented in this paper, we believe that in a real loop modelling situation
a knowledge-based method such as FREAD should be tried first (since such methods are …

… The database for such prediction of conformation in loops is now being constructed.
Sibanda and Thornton" and MilnerWhite and Poet" have detailed the conformations of 8-hairpin …

… other knowledge-based loop prediction … loop including side chains with its structural
environment. On a large test set of over 200 loops, the loop prediction method is able to model loops …

… However, it is unclear whether such hybrid models could improve the closed-loop … only
provides better predictions of future states, but also improves the closed-loop performance in both …

… We have developed KORP, a knowledge-based pairwise potential for proteins that depends
… in recent critical assessment of protein structure prediction and loop-modeling benchmarks. …

… is to employ a knowledge based approach, utilizing … loop, known as the glycine-rich loop
for its highly conserved GXGXXG motif; this loop is alternatively designated the G-loop or P-loop…

… -H3 CDR loops range from 0.61 Å to 1.05 Å, and the H3 loop average RMSD is 2.91 Å using
our knowledge-based loop prediction approach. The ab initio H3 loop predictions yield an …

… structural predictions are a more … loops, which had made it possible to homology model
much of the functional surface of the antibody (the “paratope”) using Rosetta, we can now predict …

… FOR PREDICTION A fuzzy sparse knowledge-based inference mechanism for prediction is
… Lines 9–12 form a for loop with each step in the loop (ie, lines 10 and 11) taking a unit time …