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We here describe an in silico, pocket-based drug discovery methodology utilizing the crystal structure of the Ku70/80 heterodimer.
We developed a novel interactive drug discovery methodology known as Protein Chip technology (ProteoChip) as a cutting-edge PPI assay system applicable for unique PPI-targeting therapeutics integrated with computer-aided drug design (CADD).
The relatively recent paradigm of granular computing (GrC) offers an ideal opportunity for a transparent knowledge discovery methodology to be combined with fuzzy logic thereby towards a systematic modelling framework with a focus on the overall transparency of the system.
High-throughput screening (HTS) tools have become an important part of drug discovery methodology, allowing parallel performance testing of numerous compounds.
We previously applied the gene discovery methodology, known as in vivo-induced antigen technology (IVIAT), to identify B. abortus virulence genes up-regulated during infection in elk (Cervis elaphus), and as a result have identified ten loci with gene products potentially important to survival of the pathogen in this host [20].
Includes details on the microsatellite discovery methodology, along with primer sequences.
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These biomarker discovery methodologies are based on the idea of finding statistically-detectable differences between phenotypes using patterns of gene expression observed in specific molecular pathways.
Several pharmaceutical companies have developed drug discovery methodologies based on high-throughput in vivo drug screening using small fish models of human diseases.
Scientific complexity of discovery methodologies must therefore increase, which results in increasingly risky, time-consuming, and expensive discovery programs just at a time when economics and regulatory forces are converging to make antibiotics a poor vehicle for R&D investment.
This strategy, if validated, may develop established drug discovery methodologies and also can be helpful for assisted reproductive technology to avoid IVF failure with a remarkable reduction in investment of time and resources.
T-cell antigen discovery methodologies have not kept pace, and there is now an extreme mismatch between our ability to recognize unique antigen-experienced T cells by TCR-seq and our ability to identify their cognate antigens.
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CEO of Professional Science Editing for Scientists @ prosciediting.com