Electrostatically Driven Protein–Protein Interactions: Quantitative Prediction of Second Osmotic Virial Coefficients to Aid Antibody Design
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Electrostatically Driven Protein–Protein Interactions: Quantitative Prediction of Second Osmotic Virial Coefficients to Aid Antibody Design
Authors
Keywords
-
Journal
Journal of Physical Chemistry Letters
Volume 13, Issue 5, Pages 1366-1372
Publisher
American Chemical Society (ACS)
Online
2022-02-04
DOI
10.1021/acs.jpclett.1c03669
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Toward a Suite of Coarse-Grained Models for Molecular Simulation of Monoclonal Antibodies and Therapeutic Proteins
- (2021) Hassan Shahfar et al. JOURNAL OF PHYSICAL CHEMISTRY B
- Considerations for the Design of Antibody-Based Therapeutics
- (2019) Dennis R. Goulet et al. JOURNAL OF PHARMACEUTICAL SCIENCES
- Computational approaches to therapeutic antibody design: established methods and emerging trends
- (2019) Richard A Norman et al. BRIEFINGS IN BIOINFORMATICS
- Identifying Key Residues That Drive Strong Electrostatic Attractions between Therapeutic Antibodies
- (2019) Glenn M. Ferreira et al. JOURNAL OF PHYSICAL CHEMISTRY B
- Principles of Protein Stability and Their Application in Computational Design
- (2018) Adi Goldenzweig et al. Annual Review of Biochemistry
- Rational optimization of a monoclonal antibody for simultaneous improvements in its solution properties and biological activity
- (2018) Sandeep Kumar et al. PROTEIN ENGINEERING DESIGN & SELECTION
- Electrostatically Mediated Protein-Protein Interactions for Monoclonal Antibodies: A Combined Experimental and Coarse-Grained Molecular Modeling Approach
- (2018) Glenn M. Ferreira et al. JOURNAL OF PHARMACEUTICAL SCIENCES
- The CamSol Method of Rational Design of Protein Mutants with Enhanced Solubility
- (2015) Pietro Sormanni et al. JOURNAL OF MOLECULAR BIOLOGY
- PASTA 2.0: an improved server for protein aggregation prediction
- (2014) Ian Walsh et al. NUCLEIC ACIDS RESEARCH
- Theoretical aspects of self-assembly of proteins: A Kirkwood-Buff-theory approach
- (2013) Arieh Ben-Naim JOURNAL OF CHEMICAL PHYSICS
- Toward aggregation-resistant antibodies by design
- (2013) Christine C. Lee et al. TRENDS IN BIOTECHNOLOGY
- Weak Interactions Govern the Viscosity of Concentrated Antibody Solutions: High-Throughput Analysis Using the Diffusion Interaction Parameter
- (2012) Brian D. Connolly et al. BIOPHYSICAL JOURNAL
- Solution pH That Minimizes Self-Association of Three Monoclonal Antibodies Is Strongly Dependent on Ionic Strength
- (2012) Shantanu V. Sule et al. MOLECULAR PHARMACEUTICS
- The Influence of Charge Distribution on Self-Association and Viscosity Behavior of Monoclonal Antibody Solutions
- (2012) Sandeep Yadav et al. MOLECULAR PHARMACEUTICS
- Reexamining protein–protein and protein–solvent interactions from Kirkwood-Buff analysis of light scattering in multi-component solutions
- (2011) Marco A. Blanco et al. JOURNAL OF CHEMICAL PHYSICS
- Aggregation in Protein-Based Biotherapeutics: Computational Studies and Tools to Identify Aggregation-Prone Regions
- (2011) Neeraj J. Agrawal et al. JOURNAL OF PHARMACEUTICAL SCIENCES
- Exploring the sequence determinants of amyloid structure using position-specific scoring matrices
- (2010) Sebastian Maurer-Stroh et al. NATURE METHODS
- Identifying the amylome, proteins capable of forming amyloid-like fibrils
- (2010) Lukasz Goldschmidt et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Design of therapeutic proteins with enhanced stability
- (2009) N. Chennamsetty et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The Zyggregator method for predicting protein aggregation propensities
- (2008) Gian Gaetano Tartaglia et al. CHEMICAL SOCIETY REVIEWS
- Prediction of Aggregation-Prone Regions in Structured Proteins
- (2008) Gian Gaetano Tartaglia et al. JOURNAL OF MOLECULAR BIOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started