Kumar [ 22] further improved the approach as follows: starting from a topology, a leaf l is selects at each step and all possible assignments of l on the topology are tested.
(The entry on classical logic uses the notation 'A,s ⊨ φ', where s is any assignment to all the variables of L that assigns to each variable vi free in φ the i-th element in the n-tuple a).
Most assignments of the l-citrulline-bound DM-PaDDAH could be obtained simply by monitoring the chemical shift trajectory during the titration.
A recent investigation in Thermotoga martima, a species of thermotoga bacteria, resulted in the assignment of epimerase activity for L-Ala-D/L-Phe, L-Ala-D/L-Tyr, and L-Ala-D/L-His to one member of the AEE family [ 18].
EPR spectra of this intermediate obtained using site-specific isotopically labeled lysine as substrate confirmed the assignment of this species to l-β-lysine.C ENDOR again showed a close association between l-β-lysine and the 5′-methyl group of 5′-dAH.
Although the relative stereochemistry of the C1 C19 and C1′–C8' fragments of these molecules could be deduced, the main concerns centred on the relative configuration of the trans-chlorocyclopropane ring with respect to the rest of the molecule, the stereochemical assignment of each glycoside moiety (D or L) and the stereochemistry of the glycosidic linkage.
Suggest you add a printf statement to the INITIAL block that reports the value of every variable that appears on the left hand side of an assignment statement (NMODL's printf statement syntax is a subset of C's), then see if that reveals a difference between the values reported before the first and second runs.
where σ ml n is the noise that is experienced by the n th UE on the m th RB of l th CC, x ml n is the decision variable that corresponds to the assignment of m th RB from l th CC to n th UE and is defined in Equations (9) and (11).
Each LC-MS/MS experiment R l defines a series of n l peptide assignments π(l =π1 ll ),…, π n l (l ).
To achieve this goal, we apply a two-step procedure, combining a heuristic approach generating an initial tomogram classification with a subsequent refinement using a statistical inference method that maximizes the joint probability of the class assignment l and the intensity f.
