Exact(6)
This is because each representation has its own advantages and disadvantages: molecular scaffolds are straightforward to interpret but they capture part of the chemical structure, missing the information given by side chains [7]; structural fingerprints usually capture the information of the entire structure but are harder to interpret [8].
It was an old stone structure missing its walls, with a ground floor that had turned to rubble and a spectacular view.
The corner-1 missing structure (missing numbering 1) is almost unchanged except the region of distorted BN open ring as shown in the Fig. 2b.
Top curve: modelled Norrin Fz4CRD 2:2 complex crystal structure (missing regions for Norrin and Fz4CRD N- and C-termini are modeled into the crystal complex structure; green line).
The validity of the MC procedure is based on properly matching the null simulations with the observed data with regard to pedigree structure, missing data structure and phasing procedure (Curtis and Sham, 2006).
The entire cleaning procedure included but was not limited to, checks for gender identity, chromosomal anomalies, sample relatedness, population structure, missing call rates, plate effects, Mendelian errors, duplicate discordance, etc. Detailed cleaning reports are publicly available for each study at the above referenced dbGaP resource.
Similar(54)
In the neural network, input parameters were knit ratio that is the ratio of knitted loops in comparison with total loop in each unit cell of knitted structure, miss ratio that is the ratio of missed loops in comparison with total loop in each unit cell of knitted structure, stitch density and loop length.
There, 20% of the cells developed into objects recognizable as teeth (more real than the dentures pictured above), complete with the root structures missing from artificial tooth implants.
It is found that other structures (missing numbering 2 6) have one N dimer with pentagonal shape at the edge, shown in Fig. 2d g, except Fig. 2c with N dimer located at the vertex.
This review illustrates frequent problems of carbohydrate moieties in wwPDB entries, such as nomenclature issues, incorrect N-glycan core structures, missing or erroneous linkages, or poor glycan geometry, and describes the carbohydrate-specific validation tools that are designed to identify such problems.
The collation of data from multiple sources results in a large number of variables, non-linear dependency structures, missing values, imprecise data and errors [ 20].
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