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Showing 1–12 of 12 results
Advanced filters: Author: Amir Pandi Clear advanced filters

  • Geospatial estimates of the prevalence of anemia in women of reproductive age across 82 low-income and middle-income countries reveals considerable heterogeneity and inequality at national and subnational levels, with few countries on track to meet the WHO Global Nutrition Targets by 2030.

    • Damaris Kinyoki
    • Aaron E. Osgood-Zimmerman
    • Simon I. Hay
    ResearchOpen Access
    Nature Medicine
    Volume: 27, P: 1761-1782

  • Authors report a codon language representation and a model, CodonTransformer, open access and with a user-friendly interface. CodonTransformer generates species-specific DNA sequences with natural-like profiles and with minimum negative regulatory elements.

    • Adibvafa Fallahpour
    • Vincent Gureghian
    • Amir Pandi
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-12

  • Optimization of biological networks is often limited by wet lab labor and cost, and the lack of convenient computational tools. Here, aimed at democratization and standardization, the authors describe METIS, a modular and versatile active machine learning workflow with a simple online interface for the optimization of biological target functions with minimal experimental datasets.

    • Amir Pandi
    • Christoph Diehl
    • Tobias J. Erb
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15

  • Deep learning holds a great promise for the discovery and design of bioactive peptides, but experimental approaches to validate candidates in high throughput and at low cost are needed. Here, the authors combine deep learning and cell free biosynthesis for antimicrobial peptide (AMP) development and identify 30 functional AMPs, of which six with broad-spectrum activity against drug-resistant pathogens.

    • Amir Pandi
    • David Adam
    • Tobias J. Erb
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • So far, synthetic genetic circuits have relied on digital logic for information processing. Here the authors present metabolic perceptrons that use analog weighted adders to vary the contributions of multiple inputs, resulting in different classification functions.

    • Amir Pandi
    • Mathilde Koch
    • Jean-Loup Faulon
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-13

  • Bhattacharjee and Schaeffer et al. map exclusive breastfeeding (EBF) in 94 low- and middle-income countries (LMICs), finding increased EBF practice and reduced subnational variation across the majority of LMICs from 2000 to 2018. However, only six LMICs will meet WHO’s target of ≥70% EBF by 2030 nationally, and only three will achieve this in all districts.

    • Natalia V. Bhattacharjee
    • Lauren E. Schaeffer
    • Simon I. Hay
    ResearchOpen Access
    Nature Human Behaviour
    Volume: 5, P: 1027-1045

  • Inducible gene expression systems should minimise leaky output and offer a large achievable range of expression. Here, the authors regulate transcription and translation together to suppress noise and create digital-like responses, while maintaining a large expression range in vivo and in vitro.

    • F. Veronica Greco
    • Amir Pandi
    • Thomas E. Gorochowski
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-11

  • Cell-free lysates are a major platform for in vitro protein production but batch-to-batch variation makes production difficult to predict. Here the authors develop an active learning approach to optimising buffer conditions to bring homemade lysates up to commercial production potential.

    • Olivier Borkowski
    • Mathilde Koch
    • Jean-Loup Faulon
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-8