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It is often difficult to detect bistability based on such molecular mechanisms due to its intricate interaction with cellular growth.
Because treatment decisions are being made based on such molecular data, data management is gaining major importance.
The implications of these estimates are firstly that T. brucei s.l. is probably more widespread than currently implemented surveys based on such molecular tools suggest, both in Western Kenya [15] and elsewhere.
Nevertheless, better classification of patients based on such molecular profiles would enable stratification prior to treatment.
Several ongoing trials, including the MITO16/MANGO-2, are focused on these aspects (ClinicalTrials.gov identifier: NCT01706120), which aim to identify which patients could benefit from treatment based on such molecular features.
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Despite the clinical relevance of many TEM-type β-lactamases, no attempt has been made to develop drug sensors based on such important molecular drug targets.
To design any reliable or predictable surface material based on such oligolysine molecular switch, it is essential to have a detailed understanding of the structural requirements and mechanism by which the oligopeptides on the surface alter the ligand function.
Furthermore, based on such relations between molecular size and enantiomeric discrimination it may become possible to predict the minimal size of prebiotic molecules that would generate sufficient symmetry breaking as inferred from the C-GARD model.
1D similarity functions are based on molecular property counts such as molecular weight or number of hydrogen bond acceptors.
Detection of Cryptosporidium spp. is routinely based on molecular methods such as polymerase chain reaction (PCR) and subsequent restriction fragment length polymorphism (RFLP) or gene sequencing.
Nonetheless, very preliminary analyses using paleoclimatic projections of niche models are casting doubt on issues that had been "decided" based on molecular data, such as the pre-Pleistocene nature of vertebrate speciation in the Amazon Basin (Bonaccorso et al. 2006; Peterson and Nyári 2007) and the exceptional age of the Sahara Desert as a biogeographic barrier (Nyári et al. 2010).
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