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Most molecular transformations have only a single example in the data set; however, a few dozen transformations have sufficient numbers for statistical analysis.
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Matched molecular pairs (MMPs), i.e., pairs of compounds that are related to each other by a specific molecular transformation, have become an integral tool of drug discovery [1, 2].
Advancements in molecular biology and genetic transformation have made it possible to identify, isolate, and transfer desirable genes from any plants or microbes.
Recently, a number of new drugs targeting molecular mechanisms involved in liver cell transformation have entered into clinical trials and led to encouraging results.
Molecular pathways that participate in cervical malignant transformation have emerged as promising directed therapeutic targets.
IRFs and EBV transformation have close relations.
Advanced knowledge in the molecular pathology underlying malignant transformation has offered new handles and better treatments for several cancer types.
MMP analysis has a practical goal: molecular transformations can help medicinal chemists to drive the molecular optimization process.
SlogP is based on atom types, so each molecular pair in a particular aggregated transformation has the same change in SlogP.
This is particularly true for the field of oncology where the increased understanding of genetic and molecular mechanisms involved in malignant cellular transformation has led to major changes in therapeutic approaches.
Figure 13 Exemplary molecular transformations.
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