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Delete

A loop is a path which begins and ends at the same point, such as CGDHC in Fig. 7.1a. If two loops have a line in common, they can be linked to form a third loop by deleting the common line. In Fig. 7.1a, for example, BGCEB and CGDHC can be linked to give BGDHCEB. In this case, this last loop is said to be dependent on the other two. [Pg.214]

System utilities PC interface for an easy management of the stored data files (copy, delete, renatne, compress) and control of the PC status. [Pg.70]

In a dense system, the acceptance rate of particle creation and deletion moves will decrease, and the number of attempts must be correspondingly increased eventually, there will come a point at which grand canonical simulations are not practicable, without some tricks to enliance the sampling. [Pg.2260]

In the simplest version, a one-component system is simulated at a given temperature T in both boxes particles in different boxes do not interact directly with each other however, volume moves and particle creation and deletion... [Pg.2268]

Since there is no conical intersection in the buffer zone, CTq, the second integral is zero and can be deleted so that we are left with the first and the third integrals. In general, the calculation of each integral is independent of the other however, the two calculations have to yield the same result, and therefore they have to be interdependent to some extent. Thus we do each calculation separately but for different (yet unknown) boundary conditions The first integral will be done for Gi2 as a boundary condition and the second for G23. Thus A will be calculated twice ... [Pg.670]

The biasing function is applied to spread the range of configurations sampled such that the trajectory contains configurations appropriate to both the initial and final states. For the creation or deletion of atoms a softcore interaction function may be used. The standard Lennard-Jones (LJ) function used to model van der Waals interactions between atoms is strongly repulsive at short distances and contains a singularity at r = 0. This precludes two atoms from occupying the same position. A so-called softcore potential in contrast approaches a finite value at short distances. This removes the sin-... [Pg.154]

The critical factor for any method involving an approximation or an extrapolation is its range of application. Liu et al. [15] demonstrated that the approach performed well for mutations involving the creation or deletion of single atoms. The method has also been successfully applied to the prediction of the relative binding affinities of benzene, toluene and o-, p-, and m-xylene to a mutant of T4-lysozyme [16]. In both cases, however, the perturbation to the system was small. To investigate range over which the extrapolation may... [Pg.159]

In order to trace (find, change, add, or delete) a segment in the database, the sequence in which the data arc read is important. Thus, the sequence of the hierarchical path is parent > child > siblings. The assignment of the data entities uses pointers. In our example, the hierarchical path to K is traced in Figure 5-fi. [Pg.232]

Figure 5-8. Detail of Figure 5-7 after deletion of object I Other iinportant objects such as H can lose their relationships. [Pg.234]

Relational database models utilize memory very efficiently, avoiding repetition of data. It is possible to extract both individual data elements and combinations of them from a table. The main advantage of this structure is that it offers the possibility ofehanging the structure of the database (adding or deleting tables) without... [Pg.235]

Deletion One or more nucleotides that are not copied during DNA replication... [Pg.569]

Indel Insertion or deletion required to optimise sequence alignment... [Pg.569]

Beeause the level with this L and S quantum numbers eontains (2L+1)(2S+1) states with Ml and Ms quantum numbers running from -L to L and from -S to S, respeetively, one must remove from the original box this number of produet states. To do so, one simply erases from the box one entry with eaeh sueh Ml and Ms value. Aetually, sinee the box need only show those entries with non-negative Ml and Ms values, only these entries need be explieitly deleted. In the example, this amounts to deleting nine produet states with Ml, Ms values of 1,1 1,0 1,-1 0,1 0,0 0,-1 -1,1 -1,0 -1,-1. [Pg.252]

After deleting these entries, one returns to step 1 and earries out the proeess again. For the p2 example, the box after deleting the first nine produet states looks as follows (those that appear in italies should be viewed as already eaneelled in eounting all of the P states) ... [Pg.252]

It should be emphasized that the proeess of deleting or erossing off entries in various Ml, Ms boxes involves only counting how many states there are by no means do we identify the particular L,S,Ml,Ms wavefunctions when we cross out any particular entry in a box. For example, when the piapoP product is deleted from the Ml= 1, Ms=0 box in accounting for the states in the level, we do not claim that piapoP itself is a member of the level the poOtpiP product state could just as well been eliminated when accounting for the P states. As will be shown later, the P state with Ml= 1, Ms=0 will be a combination of piapoP and pootpiP. ... [Pg.253]

After deleting from the box diagram entries corresponding to Ms values ranging from -S to S and Ml values of Ml and - Ml, one has (again using italics to denote the deleted entries) ... [Pg.260]

Among the remaining entries, the highest Ms value is Ms = 0, and within this Ms the highest Ml is Ml = 2. Thus, there is a state. Deleting entries with Ms = 0 and Ml = 2 and -2, one has left the following box diagram ... [Pg.260]

The highest Ms value is Ms = 1, so there is an S = 1 state. After deleting one entry eaeh with Ms = 1,0, and -1, there is one entry left with Ms = 0. Thus, there is an S = 0 state also. [Pg.266]

Activity prediction is based on a list of models (i.e., QSAR models, pharmacophore models, etc.) that are maintained on the server. There is a second level of access so that only authorized users may be allowed to add or delete model entries. [Pg.355]

Because coupling is not always quantitative, the non-reacted terminal deoxynucteoside must be excluded from the following synthesis cycles. Otherwise deletion sequences will render the isolation of the pure final product difficult. Therefore a capping step (step 3) follows, e.g., acetylation with acetic anhydride and N,N-dimethyl-4-pyridinamine (DMAP) in dioxane. Capping times should be as short as possible, especially with 2-cyanoethyl phosphite triesters, which are sensitive to bases such as DMAP. [Pg.223]

PCR can also be used to modify DNA sequences using primers differing at one or several positions from the target sequence. This is possible because PCR does not require perfect complementarity of a primer to the sequence flanking the target. Since all of the PCR products contain the primer sequence, an insertion or deletion can thus be incorporated into the product by modifying a primer. It is also possible to add new sequences to the 5 -ends of the primers. Modified or additional genetic information may thus be multiplied and transr ported. [Pg.227]


See other pages where Delete is mentioned: [Pg.11]    [Pg.179]    [Pg.180]    [Pg.181]    [Pg.2382]    [Pg.43]    [Pg.81]    [Pg.698]    [Pg.710]    [Pg.153]    [Pg.153]    [Pg.154]    [Pg.234]    [Pg.179]    [Pg.198]    [Pg.326]    [Pg.34]    [Pg.457]    [Pg.539]    [Pg.544]    [Pg.551]    [Pg.553]    [Pg.553]    [Pg.563]    [Pg.596]    [Pg.608]    [Pg.586]    [Pg.188]    [Pg.253]    [Pg.525]   
See also in sourсe #XX -- [ Pg.25 ]

See also in sourсe #XX -- [ Pg.17 , Pg.37 , Pg.40 ]




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Alleles, deletion

Alleles, deletion Mutations

Amino acids deletion

Application strategies deletion of chiral centres

Arrays deleting

Base pair additions/deletions

Base pair deletion

Carbonic deletion method

Case deletion diagnostic

Chain insertion-deletion

Chiral centre, deletion

Chromatid-type deletions

Clonal deletion

Clonal deletion, tolerance

Columns, deleting

Columns, deleting inserting

Combined deletion

Conversions deletion forms

Delete data block

Deleted Registry Number

Deleted product

Deleting

Deleting markers

Deleting regions

Deleting rows or columns

Deletion Approach

Deletion duplex

Deletion hypothesis

Deletion intermediates

Deletion mapping

Deletion mutagenesis

Deletion mutants

Deletion of a gene

Deletion of chiral centres

Deletion peptides

Deletion process

Deletion sequences

Deletion, phenylalanine codon

Deletion/insertion detection

Deletional joining

Deletions

Deletions

Deletions, chromosomal

Deletions, gene

Deletions, genetic

Deletions, production

Deletions/insertions

Directory delete

Duchenne muscular dystrophy deletions

Edge Deletions

Editing or Deleting Arrays

Events deleting sections

File delete

Gene-deleted vaccines

Gene-deletion experiments

Genetics deletion mutation

Insertion-deletion mutation

Insertion-deletion polymorphisms

Insertion/deletion methods

Insertion/deletion polymorphisms controls

Insertions and deletions

Internal deletion

Interstitial deletion

Kink insertion/deletion

Large deletion mutations

Library deletion

Links, Stars, and Deletions

Listwise deletion

Model building deletions

Mutation deletions

Mutations deletion, production

NOSTAR deletion

Native protein structures deletions

Nondisruptive deletions

Particle deletion

Phenylalanine deletion

Phosphatase and tensin homolog deleted

Phosphatase and tensin homology deleted on chromosome ten

Polymerase chain reaction Insertion/deletion

Probe delete plot

Probe deleting traces

Promoter deletion analysis

Promoter deletion assay

Promoter region deletions

Protein function evolution deletions

Residuals deleted

Role of the Deletion, Energy Suppression, Ignorance, and Apoptosis Mechanisms in Food Antigen Tolerance

Studentized Deleted Residuals

Suppression of Deletion Sequences

Transgenics internal deletions

Update and Delete

Using Move, Copy or Delete Sheet

Virus deletion mutant

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