The aerial parts essential oils of Ocimum basilicum (Lamiaceae) from Togo were steam-distilled and investigated for their percentage composition (GC and GC/MS) and in vitro antimicrobial activities. Five oil chemotypes were identified and classified as follows in line with their principal components: estragole type; linalool/estragole type; methyleugenol type; methyleugenol/t-anethole type; t-anethole type. The in vitro microbiological experiments revealed that only the methyleugenol and methyleugenol/t-anethole chemotypes were active against tested fungi and bacteria. Their minimum inhibitory concentrations (MIC) ranged from 80 to 150 µL/L  and from 200 to 500 µL/L  respectively. Likewise, o n tested bacteria the MIC varied from 200 µL/L  to 400 µL/L  and from 250 to 500 µL/L  respectively. These findings are supportive of the potential of both basil oil chemotypes for use as active ingredients in natural antibiotic drugs.

/pdf/chemical-composition-and-antimicrobial-properties-of-2l9prvo4of.pdf

Chemical composition and antimicrobial properties of different basil essential oils chemotypes from Togo

The present disclosure relates to non-naturally occurring monooxygenase polypeptides useful for preparing prazole compounds, polynucleotides encoding the polypeptides, and methods of using the polypeptides.

Synthesis of prazole compounds

The disclosure relates to a method of generating a diverse set of variants to screen improved and novel properties within the variant population, a system for creating the diverse set of variants, and the variant peptides.

Method of generating an optimized, diverse population of variants

Earlier hypotheses regarding the cause of liver cancer in Africa fail to explain the epidemiologic pattern of this disease, notably its rarity in Egypt.

/pdf/the-aetiology-of-primary-carcinoma-of-the-liver-in-africa-a-3081rmctqc.pdf

The aetiology of primary carcinoma of the liver in Africa: a critical appraisal of previous ideas with an outline of the mycotoxin hypothesis

Disclosed are methods for building a sequence activity model with reference to structural data, which model can be used to guide directed evolution of proteins having beneficial properties. Some embodiments use genetic algorithms and structural data to filter out uninformative data. Some embodiments use a support vector machine to train the sequence activity model. The filtering and training methods can generate a sequence activity model having higher predictive power than conventional modeling methods. Systems and computer program products implementing the methods are also provided.

Structure based predictive modeling

The present disclosure relates to compositions and methods for screening a plurality of polypeptide variants.

Structure-activity relationships

L'invention concerne des compositions et des procedes pour examiner une pluralite de variantes de polypeptides.

Relations structure-activité

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Structure-activity relationships

Relations structure-activité