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Ordered mesoporous carbons (OMCs) have been studied extensively since their discovery focusing on their synthesis control as well as their applications such as catalyst support [1], electrodes materials [2], and delivering processing [3].
The process of resolving many requirements is termed 'multi-objective optimization', and here we discuss how this can be used for drug discovery, focusing on evolutionary molecule design to incorporate optimal predicted absorption, distribution, metabolism, excretion and toxicity properties.
Furthermore, these E-dependent expression datasets will enable further gene discovery focusing on microRNAs and non-coding RNAs.
Kornbluth and Stone have recently hailed a new golden age of vaccine discovery focusing on the exploitation of adjuvants as immunomodulators able to enhance immunogencity of subunit and peptide-based vaccines [38].
In this study we approach the broad question of applying computation to deep experimental expression datasets to develop methods for gene discovery, focusing on miRNAs, ncRNAs, and antisense transcripts.
Such significant proportion of essential host factors indirectly targeted by viruses is really promising in the specific context of antiviral drug discovery focusing on host proteins, as viral adaptation against these "stealth targets" is unlikely and will not favour appearance of drug resistance.
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Much of today's drug discovery focuses on biologically sourced drugs as opposed to chemically synthesized ones.
Motif discovery focuses on searching for novel binding motifs from a collection of short sequences that are assumed to contain a common regulatory motif.
Another major direction of motif finding and CRN discovery focuses on comparative genomics, also referred to as phylogenetic footprinting (PF) [ 22- 34].
Much of the criticism of biomarker discovery focuses on the rift between biomarker discovery and biomarker validation where a validated marker has a defined clinical utility demonstrated across multiple patient populations.
To enrich for markers destined to be found in the peripheral circulation of lung cancer patients, discovery focused on glycoproteins predicted to be located either at the cell membrane or secreted/shed from lung cancer cells.
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