AIMC Topic: Recombinant Proteins
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Data-driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins.
Biotechnology and bioengineering
Apr 20, 2023
Recently, the advancement in process analytical technology and artificial intelligence (AI) has enabled the generation of enormous culture data sets from biomanufacturing processes that produce various recombinant therapeutic proteins (RTPs), such as...
CPV of the Future: AI-Powered Continued Process Verification for Bioreactor Processes.
PDA journal of pharmaceutical science and technology
Sep 19, 2022
According to the standard guidelines by the FDA, process validation in biopharma manufacturing encompasses a life cycle consisting of three stages: process design (PD), process qualification (PQ), and continued process verification (CPV). The validit...
Reversing radiation-induced immunosuppression using a new therapeutic modality.
Life sciences in space research
May 11, 2022
Radiation-induced immune suppression poses significant health challenges for millions of patients undergoing cancer chemotherapy and radiotherapy treatment, and astronauts and space tourists travelling to outer space. While a limited number of recomb...
Stem-cell mobilization of healthy sibling donors with pegfilgrastim-A prospective open-label phase II trial (EudraCT no: 2005-004971-39).
Transfusion
Dec 10, 2021
BACKGROUND: Pegfilgrastim is a covalently bound conjugate of filgrastim and mono-methoxypolyethylene glycol with a longer half-life.
Deep protein representations enable recombinant protein expression prediction.
Computational biology and chemistry
Oct 27, 2021
A crucial process in the production of industrial enzymes is recombinant gene expression, which aims to induce enzyme overexpression of the genes in a host microbe. Current approaches for securing overexpression rely on molecular tools such as adjust...
Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.
Nature communications
Jun 10, 2021
In systemic light chain amyloidosis (AL), pathogenic monoclonal immunoglobulin light chains (LC) form toxic aggregates and amyloid fibrils in target organs. Prompt diagnosis is crucial to avoid permanent organ damage, but delayed diagnosis is common ...
Recapitulating the Binding Affinity of Nrf2 for KEAP1 in a Cyclic Heptapeptide, Guided by NMR, X-ray Crystallography, and Machine Learning.
Journal of the American Chemical Society
Mar 8, 2021
Macrocycles, including macrocyclic peptides, have shown promise for targeting challenging protein-protein interactions (PPIs). One PPI of high interest is between Kelch-like ECH-Associated Protein-1 (KEAP1) and Nuclear Factor (Erythroid-derived 2)-li...
Mutagenesis, Site-Directed
Amino Acid Motifs
Cyclization
Kelch-Like ECH-Associated Protein 1
Fluorescence Polarization
Nuclear Magnetic Resonance, Biomolecular
NF-E2-Related Factor 2
Structure-Activity Relationship
Crystallography, X-Ray
Hydrogen Bonding
Humans
Protein Binding
Recombinant Proteins
Machine Learning
Peptides
Generating functional protein variants with variational autoencoders.
PLoS computational biology
Feb 26, 2021
The vast expansion of protein sequence databases provides an opportunity for new protein design approaches which seek to learn the sequence-function relationship directly from natural sequence variation. Deep generative models trained on protein sequ...
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 intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury.
Scientific reports
Feb 9, 2021
Traumatic spinal cord injury (SCI) produces a complex syndrome that is expressed across multiple endpoints ranging from molecular and cellular changes to functional behavioral deficits. Effective therapeutic strategies for CNS injury are therefore li...
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