AIMC Topic: Bacterial Proteins
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Preclinical efficacy of a cell division protein candidate gonococcal vaccine identified by artificial intelligence.
mBio
Oct 31, 2023
Vaccines to curb the global spread of multidrug-resistant gonorrhea are urgently needed. Here, 26 vaccine candidates identified by an artificial intelligence-driven platform (Efficacy Discriminative Educated Network[EDEN]) were screened for efficacy ...
Enhanced detection of Listeria monocytogenes using tetraethylenepentamine-functionalized magnetic nanoparticles and LAMP-CRISPR/Cas12a-based biosensor.
Analytica chimica acta
Oct 11, 2023
BACKGROUND: Listeria monocytogenes is a pathogenic bacterium that can lead to severe illnesses, especially among vulnerable populations. Therefore, the development of rapid and sensitive detection methods is vital to prevent and manage foodborne dise...
Identification of inhibitors for Agr quorum sensing system of Staphylococcus aureus by machine learning, pharmacophore modeling, and molecular dynamics approaches.
Journal of molecular modeling
Jul 20, 2023
CONTEXT: Staphylococcus aureus is a highly pathogenic organism that is the most common cause of postoperative complications as well as severe infections like bacteremia and infective endocarditis. By mediating the formation of biofilms and the expres...
Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins.
Computers in biology and medicine
Jun 21, 2023
The genome of Mycobacterium tuberculosis contains a relatively high percentage (10%) of genes that are poorly characterised because of their highly repetitive nature and high GC content. Some of these genes encode proteins of the PE/PPE family, which...
Development and Application of Two Inducible Expression Systems for Streptococcus suis.
Microbiology spectrum
Jun 27, 2022
Streptococcus suis is an important zoonotic bacterial pathogen posing a threat to the pig industry as well as public health, for which the mechanisms of growth and cell division remain largely unknown. Developing convenient genetic tools that can ach...
Soft Sensor Modeling Method Based on Improved KH-RBF Neural Network Bacteria Concentration in Marine Alkaline Protease Fermentation Process.
Applied biochemistry and biotechnology
May 4, 2022
Marine alkaline protease (MAP) fermentation is a complex multivariable, multi-coupled, and nonlinear process. Some unmeasured parameters will affect the quality of protease. Aiming at the problem that some parameters are difficult to be detected onli...
Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics.
Nature communications
Apr 11, 2022
Exploring excitation energy transfer (EET) in light-harvesting complexes (LHCs) is essential for understanding the natural processes and design of highly-efficient photovoltaic devices. LHCs are open systems, where quantum effects may play a crucial ...
NIFtHool: an informatics program for identification of NifH proteins using deep neural networks.
F1000Research
Feb 9, 2022
Atmospheric nitrogen fixation carried out by microorganisms has environmental and industrial importance, related to the increase of soil fertility and productivity. The present work proposes the development of a new high precision system that allows ...
Few-fs resolution of a photoactive protein traversing a conical intersection.
Nature
Nov 3, 2021
The structural dynamics of a molecule are determined by the underlying potential energy landscape. Conical intersections are funnels connecting otherwise separate potential energy surfaces. Posited almost a century ago, conical intersections remain t...
TwinCons: Conservation score for uncovering deep sequence similarity and divergence.
PLoS computational biology
Oct 29, 2021
We have developed the program TwinCons, to detect noisy signals of deep ancestry of proteins or nucleic acids. As input, the program uses a composite alignment containing pre-defined groups, and mathematically determines a 'cost' of transforming one ...
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