AIMC Topic: Protein Stability

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Coupling of Trastuzumab chromatographic profiling with machine learning tools: A complementary approach for biosimilarity and stability assessment.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Oct 8, 2021
Biosimilar products present a growing opportunity to improve the global healthcare systems. The amount of accepted variability during the comparative assessments of biosimilar products introduces a significant challenge for both the biosimilar develo...
Machine Learning Protein Stability Trastuzumab Peptide Mapping Chromatography, Liquid Principal Component Analysis Cluster Analysis
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SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation.

The journal of physical chemistry. B Sep 21, 2021
Engineering proteins to have desired properties by mutating amino acids at specific sites is commonplace. Such engineered proteins must be stable to function. Experimental methods used to determine stability at throughputs required to scan the protei...
Protein Stability Thermodynamics Proteins Mutation Neural Networks, Computer
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A Machine Learning Study on the Thermostability Prediction of (R)--Selective Amine Transaminase from Aspergillus terreus.

BioMed research international Aug 16, 2021
Artificial intelligence technologies such as machine learning have been applied to protein engineering, with unique advantages in protein structure, function prediction, catalytic activity, and other issues in recent years. Screening better mutants i...
Machine Learning Aspergillus Amines Substrate Specificity Protein Engineering Protein Stability Hot Temperature Models, Molecular Transaminases Protein Structural Elements
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A Deep-Learning Sequence-Based Method to Predict Protein Stability Changes Upon Genetic Variations.

Genes Jun 12, 2021
Several studies have linked disruptions of protein stability and its normal functions to disease. Therefore, during the last few decades, many tools have been developed to predict the free energy changes upon protein residue variations. Most of these...
Genetic Variation Protein Stability Sequence Analysis, Protein Amino Acid Substitution Humans Deep Learning Molecular Dynamics Simulation
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Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks.

PLoS computational biology Nov 30, 2020
Predicting mutation-induced changes in protein thermodynamic stability (ΔΔG) is of great interest in protein engineering, variant interpretation, and protein biophysics. We introduce ThermoNet, a deep, 3D-convolutional neural network (3D-CNN) designe...
Point Mutation Protein Stability Thermodynamics Neural Networks, Computer Computational Biology Proteins Imaging, Three-Dimensional
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Development challenges of high concentration monoclonal antibody formulations.

Drug discovery today. Technologies Nov 24, 2020
High concentration monoclonal antibody drug products represent a special segment of biopharmaceuticals. In contrast to other monoclonal antibody products, high concentration monoclonal antibodies are injected subcutaneously helping increase patient c...
Antibodies, Monoclonal Humans Pharmaceutical Preparations Protein Stability Biological Products
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PeptiDesCalculator: Software for computation of peptide descriptors. Definition, implementation and case studies for 9 bioactivity endpoints.

Proteins Sep 17, 2020
We present a novel Java-based program denominated PeptiDesCalculator for computing peptide descriptors. These descriptors include: redefinitions of known protein parameters to suite the peptide domain, generalization schemes for the global descriptio...
Peptide Mapping Antineoplastic Agents HIV Infections Peptides Support Vector Machine Pseudomonas aeruginosa Candida albicans Antifungal Agents Hepatitis C Antiviral Agents Listeria monocytogenes Software Protein Stability Humans Neural Networks, Computer Anti-Bacterial Agents Neoplasms
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Machine learning and statistical analyses for extracting and characterizing "fingerprints" of antibody aggregation at container interfaces from flow microscopy images.

Biotechnology and bioengineering Jul 28, 2020
Therapeutic proteins are exposed to numerous stresses during their manufacture, shipping, storage and administration to patients, causing them to aggregate and form particles through a variety of different mechanisms. These varied mechanisms generate...
Antibodies Microscopy Immunoglobulins, Intravenous Protein Aggregates Protein Stability Machine Learning Algorithms Image Processing, Computer-Assisted
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Application of machine learning to predict monomer retention of therapeutic proteins after long term storage.

International journal of pharmaceutics Jan 15, 2020
An important aspect of initial developability assessments as well formulation development and selection of therapeutic proteins is the evaluation of data obtained under accelerated stress condition, i.e. at elevated temperatures. We propose the appli...
Drug Storage Hot Temperature Neural Networks, Computer Models, Theoretical Machine Learning Algorithms Protein Stability Time Factors Drug Stability
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Robust Prediction of Single and Multiple Point Protein Mutations Stability Changes.

Biomolecules Dec 31, 2019
Accurate prediction of protein stability changes resulting from amino acid substitutions is of utmost importance in medicine to better understand which mutations are deleterious, leading to diseases, and which are neutral. Since conducting wet lab ex...
Point Mutation Protein Stability Thermodynamics Neural Networks, Computer Proteins Databases, Protein Machine Learning Amino Acids
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