Exact(23)
ADME is hard to predict for large data sets because current ADME experimental screens are multi-mechanisms, and predictions get worse as more data accumulates.
Due to advances in computer technology resulting in constantly increasing computational power, virtual libraries comprising many thousands of compounds can be rapidly evaluated in silico prior to experimental screens and at a fraction of the cost.
The reproductive mode of clones (OP or CP) was determined using experimental screens.
Eventually, automated experimental screens should reveal function on a large scale [12], but for now their range of assays is limited.
Proteins were designated as mitochondrial if they met at least two criteria and if at least one of these criteria belonged to the genome wide experimental screens (Mitochondrial proteomics; Subcellular localization screens).
Thus, even in E. coli, the species in which the most extensive computational and experimental screens for sRNAs have been conducted to date, it is likely that only a subset of regulatory RNAs have been identified.
Similar(37)
The prediction models proposed in this article can be applied to in silico pre-screening, which filters a large compound library for experimental screening, and to sequential screening that utilizes a process of alternating in silico and experimental screening steps (Blower et al., 2006).
The experimental screening of compound collections is a common starting point in many drug discovery projects.
Experimental screening of a molecule on thousands of targets is costly and elaborate.
Experimental screening of chemical compounds for biological activity is a time consuming and expensive practice.
To screen desired lead compounds, researchers have developed a plethora of experimental screening models.
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