AIMC Topic: Bacterial Proteins

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Prediction and analysis of quorum sensing peptides based on sequence features.

PloS one Mar 17, 2015
Quorum sensing peptides (QSPs) are the signaling molecules used by the Gram-positive bacteria in orchestrating cell-to-cell communication. In spite of their enormous importance in signaling process, their detailed bioinformatics analysis is lacking. ...
Sequence Analysis, Protein Software Bacterial Proteins Peptides Quorum Sensing Bacteria Support Vector Machine
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Generative deep learning model assisted multi-objective optimization for wastewater nitrogen to protein conversion by photosynthetic bacteria.

Bioresource technology Sep 1, 2025
For decades, the photosynthetic bacteria (PSB)-based nitrogen treatment and valorization from wastewater have been explored. However, balancing nitrogen removal performance and resource recovery potential in PSB has remained a key unresolved issue fo...
Bacterial Proteins Wastewater Nitrogen Neural Networks, Computer Photosynthesis Biological Oxygen Demand Analysis Water Purification Deep Learning
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Genomic and machine learning approaches to predict antimicrobial resistance in .

Microbiology spectrum Aug 5, 2025
UNLABELLED: is a multidrug-resistant pathogen, which poses a major challenge to clinical management due to its increasing resistance to common antibiotics, such as levofloxacin (LEV) and trimethoprim-sulfamethoxazole (SXT), and poor clinical respons...
Trimethoprim, Sulfamethoxazole Drug Combination Stenotrophomonas maltophilia Mutation Whole Genome Sequencing Gram-Negative Bacterial Infections Levofloxacin Genome, Bacterial Drug Resistance, Multiple, Bacterial Genomics Bacterial Proteins Humans Anti-Bacterial Agents Machine Learning Microbial Sensitivity Tests
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Transfer Learning for Designing Efficient Signal Peptides to Improve the Secretion Level of Recombinant Protein in .

Journal of agricultural and food chemistry Jul 9, 2025
Signal peptides (SPs) play an essential role in determining the secretion efficiency of proteins of interest (POIs). However, the manual identification of SPs with a high secretion potential is both time-consuming and labor-intensive. Recently, many ...
Bacterial Proteins Bacillus amyloliquefaciens Protein Sorting Signals Machine Learning Recombinant Proteins
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Accurate Diagnosis of Colorectal Cancer Using a Combination of Lectin-Induced Recombinase Polymerase Amplification and CRISPR/Cas12a Assay on a Point-of-Care Testing Platform with Deep Learning Assistant.

Analytical chemistry Jul 1, 2025
Specific glycosylation patterns on exosome surfaces represent novel diagnostic biomarkers for cancer liquid biopsy. Lectins can induce exosome aggregation through multiple bindings with exosomal glycoproteins. In this work, we developed a one-pot lec...
Point-of-Care Testing Exosomes Lectins Endodeoxyribonucleases CRISPR-Associated Proteins Recombinases Cell Line, Tumor Mice Nucleic Acid Amplification Techniques Limit of Detection CRISPR-Cas Systems Bacterial Proteins Colorectal Neoplasms Animals Deep Learning Humans
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Machine learning and statistical classification in CRISPR-Cas12a diagnostic assays.

Biosensors & bioelectronics Jul 1, 2025
CRISPR-based diagnostics have gained increasing attention as biosensing tools able to address limitations in contemporary molecular diagnostic tests. To maximize the performance of CRISPR-based assays, much effort has focused on optimizing the chemis...
Humans Endodeoxyribonucleases Biosensing Techniques Neural Networks, Computer CRISPR-Associated Proteins CRISPR-Cas Systems Machine Learning Bacterial Proteins
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Rapid Identification and Typing of Carbapenem-Resistant Klebsiella pneumoniae Using MALDI-TOF MS and Machine Learning.

Microbial biotechnology Jun 1, 2025
Use matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS) to screen the specific mass peaks of carbapenem-resistant Klebsiella pneumoniae (CRKP), compare the differences in spectrum peaks between intestinal and b...
Humans Machine Learning Sensitivity and Specificity Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Carbapenems Bacterial Typing Techniques Klebsiella pneumoniae Klebsiella Infections Bacterial Proteins Carbapenem-Resistant Enterobacteriaceae
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Deciphering the structural complexity of esterases in Amycolatopsis eburnea: A comprehensive exploration of solvent accessibility patterns.

Computers in biology and medicine Jun 1, 2025
Carboxylesterases (CES) are pivotal enzymes in the hydrolysis of carboxylic esters, playing fundamental roles in both biological systems and biotechnological applications. This study investigates CES from the Amycolatopsis genus, characterized by its...
Actinomycetales Bacterial Proteins Machine Learning Models, Molecular Esterases Solvents
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Accurate prediction of virulence factors using pre-train protein language model and ensemble learning.

BMC genomics May 21, 2025
BACKGROUND: As bacterial pathogens develop increasing resistance to antibiotics, strategies targeting virulence factors (VFs) have emerged as a promising and effective approach for treating bacterial infections. Existing methods mainly relied on sequ...
Machine Learning Computational Biology Bacterial Proteins Virulence Factors Ensemble Learning
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[AcidBasePred: a protein acid-base tolerance prediction platform based on deep learning].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology Dec 25, 2024
The structures and activities of enzymes are influenced by pH of the environment. Understanding and distinguishing the adaptation mechanisms of enzymes to extreme pH values is of great significance for elucidating the molecular mechanisms and promoti...
Deep Learning Enzymes Bacterial Proteins Proteins Sequence Analysis, Protein Hydrogen-Ion Concentration Amino Acid Sequence
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