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2025
PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning
mAbs
2025
Characterizing Biotherapeutics
2025
Advances in Sustainable Materials
2025
An antibody developability triaging pipeline exploiting protein language models
mAbs
2025
Antigen-presenting cell internalization is key for understanding and evaluating therapeutic antibodies’ immunogenicity
Frontiers in Immunology
2025
Machine Learning Models for Predicting Monoclonal Antibody Biophysical Properties from Molecular Dynamics Simulations and Deep Learning-Based Surface Descriptors
Molecular Pharmaceutics
2025
Unlocking expanded flagellin perception through rational receptor engineering
Nature Plants
2024
A New Phenolic Acid Decarboxylase from the Brown-Rot Fungus Neolentinus lepideus Natively Decarboxylates Biosourced Sinapic Acid into Canolol, a Bioactive Phenolic Compound
Bioengineering
2024
Bioprocessing, Bioengineering and Process Chemistry in the Biopharmaceutical Industry
2024
Investigating the Mechanisms of Antibody Binding to Alpha-Synuclein for the Treatment of Parkinson’s Disease
Molecular Pharmaceutics
2024
Targeting Efficient Features of Urate Oxidase to Increase Its Solubility
Applied Biochemistry and Biotechnology
2024
Explainable Machine Learning Models to Predict Gibbs–Donnan Effect During Ultrafiltration and Diafiltration of High‐Concentration Monoclonal Antibody Formulations
Biotechnology Journal
2024
DOTAD: A Database of Therapeutic Antibody Developability
Interdisciplinary Sciences: Computational Life Sciences
2024
Positive-unlabeled learning identifies vaccine candidate antigens in the malaria parasite Plasmodium falciparum
npj Systems Biology and Applications
2024
Combining Scattering Experiments and Colloid Theory to Characterize Charge Effects in Concentrated Antibody Solutions
Molecular Pharmaceutics
2024
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
Computers & Chemical Engineering
2024
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors
Journal of Computer-Aided Molecular Design
2024
Biophysical Analysis of Therapeutic Antibodies in the Early Development Pipeline
Biologics: Targets and Therapy
2024
Plasmodium vivax antigen candidate prediction improves with the addition of Plasmodium falciparum data
npj Systems Biology and Applications
2024
AAontology: An Ontology of Amino Acid Scales for Interpretable Machine Learning
Journal of Molecular Biology
2023
GUD-VE visualization tool for physicochemical properties of proteins
MethodsX
2023
Blueprint for antibody biologics developability
mAbs
2023
How can we discover developable antibody-based biotherapeutics?
Frontiers in Molecular Biosciences
2023
Identifying developability risks for clinical progression of antibodies using high-throughput in vitro and in silico approaches
mAbs
2023
Embedding Dynamics in Intrinsic Physicochemical Profiles of Market-Stage Antibody-Based Biotherapeutics
Molecular Pharmaceutics
2023
Evaluating the chaos game representation of proteins for applications in machine learning models: prediction of antibody affinity and specificity as a case study
Journal of Molecular Modeling
2022
Development of QSAR models for in silico screening of antibody solubility
mAbs
2022
Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics
mAbs
2022
Methods in Molecular Biology
2022
Springer Optimization and Its Applications
2022
Exploring the potential of machine learning for more efficient development and production of biopharmaceuticals
Biotechnology Progress
2022
FSH-blocking therapeutic for osteoporosis
eLife
2021
Machine learning prediction of methionine and tryptophan photooxidation susceptibility
Molecular Therapy - Methods & Clinical Development
2021
Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation
Trends in Pharmacological Sciences
2021
Machine learning reveals hidden stability code in protein native fluorescence
Computational and Structural Biotechnology Journal
2020
QSAR Implementation for HIC Retention Time Prediction of mAbs Using Fab Structure: A Comparison between Structural Representations
International Journal of Molecular Sciences
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