AIMC Topic: Antibodies, Monoclonal
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Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation.
Journal of pharmaceutical sciences
Jul 11, 2022
Container choice can influence particle generation within protein formulations. Incompatibility between proteins and containers can manifest as increased particle concentrations, shifts in particle size distributions and changes in particle morpholog...
Single B cell technologies for monoclonal antibody discovery.
Trends in immunology
Nov 4, 2021
Monoclonal antibodies (mAbs) are often selected from antigen-specific single B cells derived from different hosts, which are notably short-lived in ex vivo culture conditions and hence, arduous to interrogate. The development of several new technique...
Application of machine learning methods to pathogen safety evaluation in biological manufacturing processes.
Biotechnology progress
Feb 24, 2021
The production of recombinant therapeutic proteins from animal or human cell lines entails the risk of endogenous viral contamination from cell substrates and adventitious agents from raw materials and environment. One of the approaches to control su...
Machine Learning to Quantify Humoral Selection in Human Lupus Tubulointerstitial Inflammation.
Frontiers in immunology
Nov 27, 2020
In human lupus nephritis, tubulointerstitial inflammation (TII) is associated with expansion of B cells expressing anti-vimentin antibodies (AVAs). The mechanism by which AVAs are selected is unclear. Herein, we demonstrate that AVA somatic hypermut...
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...
Differentiation of Cytopathic Effects (CPE) induced by influenza virus infection using deep Convolutional Neural Networks (CNN).
PLoS computational biology
May 13, 2020
Cell culture remains as the golden standard for primary isolation of viruses in clinical specimens. In the current practice, researchers have to recognize the cytopathic effects (CPE) induced by virus infection and subsequently use virus-specific mon...
Prediction of Contact Residues in Anti-HIV Neutralizing Antibody by Deep Learning.
Japanese journal of infectious diseases
Jan 31, 2020
The monoclonal antibody 1C10 targets the V3 loop of HIV-1 and neutralizes a broad range of clade B viruses. However, the mode of interaction between 1C10 and the V3 loop remains unclear because crystallization of 1C10 and the V3 peptide was unsuccess...
Single-cell dispensing and 'real-time' cell classification using convolutional neural networks for higher efficiency in single-cell cloning.
Scientific reports
Jan 27, 2020
Single-cell dispensing for automated cell isolation of individual cells has gained increased attention in the biopharmaceutical industry, mainly for production of clonal cell lines. Here, machine learning for classification of cell images is applied ...
Simulation program of a cytotoxic compounding robot for monoclonal antibodies and anti-infectious sterile drug preparation.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Jan 16, 2019
The aim of this study was to develop a specific simulation program for the validation of a cytotoxic compounding robot, KIRO® Oncology, for the preparation of sterile monoclonal antibodies and anti-infectious drugs. The impact of excipient formulatio...
Paper-based fluorescent immunoassay for highly sensitive and selective detection of norfloxacin in milk at picogram level.
Talanta
Nov 24, 2018
Norfloxacin (NOR) in milk may influence mammalian cell replication and bring about a decrease in the efficiency for treating infection in humans. However, current techniques for detecting NOR usually require expensive instruments and trained personne...
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