Multiscale Models of Antibiotic Probiotics.

Yiannis N Kaznessis

Abstract read

In one paragraph

Article in Current opinion in chemical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Yiannis N KaznessisDepartment of Chemical Engineering and Materials Science University of Minnesota, Minneapolis, MN 55455, USA yiannis@umn.edu.

Funding

Lactic Acid Bacteria that Detect & Inhibit Enterococci in the Mammalian GI TractR01GM111358 · NIGMS · UNIVERSITY OF MINNESOTA · PI DUNNY, GARY M, KAZNESSIS, YIANNIS · 2014 to 2017

$1.4M

Computational Modeling /Design of Antimicrobial PeptidesR01GM070989 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI KAZNESSIS, YIANNIS · 2005 to 2009

$1.1M

Multiscale Models for Synthetic BiologyR01GM086865 · NIGMS · UNIVERSITY OF MINNESOTA · PI KAZNESSIS, YIANNIS · 2009 to 2010

$497k

NIGMS NIH HHS R01 GM070989NIGMS NIH HHS R01 GM086865NIGMS NIH HHS R01 GM111358

6 · The paper itself

Abstract

The discovery of antibiotics is one of the most important advances in the history of humankind. For eighty years human life expectancy and standards of living improved greatly thanks to antibiotics. But bacteria have been fighting back, developing resistance to our most potent molecules. New, alternative strategies must be explored as antibiotic therapies become obsolete because of bacterial resistance. Mathematical models and simulations guide the development of complex technologies, such as aircrafts, bridges, communication systems and transportation systems. Herein, models are discussed that guide the development of new antibiotic technologies. These models span multiple molecular and cellular scales, and facilitate the development of a technology that addresses a significant societal challenge. We argue that simulations can be a creative source of knowledge.

Indexed as

Antimicrobial PeptidesMultiscale ModelsSynthetic Biology

Identifiers

PMID25313349

DOI10.1016/j.coche.2014.08.002

PMCPMC4192654

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.