Research graph
References from Machine learning reveals hidden stability code in protein native fluorescence. Local targets link to admitted publications; unresolved targets remain external evidence.
Conformational Stability and Self-Association Equilibrium in Biologics
10.1016/j.drudis.2015.11.007 · 2016 · External reference
10.1080/19420862.2016.1189048
10.1080/19420862.2016.1189048 · External reference
Formulation Development of Therapeutic Monoclonal Antibodies Using High-Throughput Fluorescence and Static Light Scattering Techniques: Role of Conformational and Colloidal Stability
10.1002/jps.22371 · 2011 · External reference
A Test of the Linear Extrapolation of Unfolding Free Energy Changes over an Extended Denaturant Concentration Range
10.1021/bi00135a022 · 1992 · External reference
Selective Domain Stabilization as a Strategy to Reduce Human Serum Albumin-Human Granulocyte Colony Stimulating Factor Aggregation Rate
10.1002/jps.23118 · 2012 · External reference
10.1021/acs.molpharmaceut.8b00186
10.1021/acs.molpharmaceut.8b00186 · External reference
The Use of Fluorescence Methods to Monitor Unfolding Transitions in Proteins
10.1016/s0006-3495(94)80799-4 · 1994 · External reference
Unresolved reference
2014 · External reference
Unresolved reference
2016 · External reference
Deep Learning
2015 · External reference
Applications of Machine Learning in Genomics and Systems Biology
2013 · External reference
10.21873/cgp.20063
10.21873/cgp.20063 · External reference
Machine Learning Methods for Predictive Proteomics
2008 · External reference
Machine Learning Applications in Proteomics Research: How the Past Can Boost the Future
10.1002/pmic.201300289 · 2014 · External reference
Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology
2013 · External reference
A Machine Learning Protocol for Predicting Protein Infrared Spectra
2020 · External reference
Sequence Feature-Based Prediction of Protein Stability Changes upon Amino Acid Substitutions
10.1186/1471-2164-11-s2-s5 · 2010 · External reference
10.1093/bioinformatics/btn353
10.1093/bioinformatics/btn353 · External reference
A Neural-Network-Based Method for Predicting Protein Stability Changes upon Single Point Mutations. In Bioinformatics
10.1093/bioinformatics/bth928 · 2004 · External reference
Application of Machine Learning to Predict Monomer Retention of Therapeutic Proteins after Long Term Storage
10.1016/j.ijpharm.2020.119039 · 2020 · External reference
Charge and Hydrophobicity Are Key Features in Sequence-Trained Machine Learning Models for Predicting the Biophysical Properties of Clinical-Stage Antibodies
10.7717/peerj.8199 · 2019 · External reference
Mapping the Aggregation Kinetics of a Therapeutic Antibody Fragment
10.1021/acs.molpharmaceut.5b00387 · 2016 · External reference
Deep Learning in Neural Networks: An Overview
2015 · External reference
10.1137/0111030
10.1137/0111030 · External reference
10.1214/09-ss054
10.1214/09-ss054 · External reference
Stability Enhancement in a MAb and Fab Coformulation
10.1038/s41598-020-77989-w · 2020 · External reference
Accelerated Formulation Development of Monoclonal Antibodies (MABS) and Mab-Based Modalities: Review of Methods and Tools
10.1177/1087057114565593 · 2015 · External reference
Chemical Denaturation as a Tool in the Formulation Optimization of Biologics
10.1016/j.drudis.2013.06.005 · 2013 · External reference
The Structural Basis of Nanobody Unfolding Reversibility and Thermoresistance
10.1038/s41598-018-26338-z · 2018 · External reference
Stabilizing Two IgG1 Monoclonal Antibodies by Surfactants: Balance between Aggregation Prevention and Structure Perturbation
10.1016/j.ejpb.2017.01.025 · 2017 · External reference
Stability of Monoclonal Antibodies at High-Concentration: Head-to-Head Comparison of the IgG1 and IgG4 Subclass
10.1002/jps.23788 · 2014 · External reference
Examination of Thermal Unfolding and Aggregation Profiles of a Series of Developable Therapeutic Monoclonal Antibodies
10.1021/mp400666b · 2015 · External reference
Unresolved reference
2014 · External reference
10.1073/pnas.0900336106
10.1073/pnas.0900336106 · External reference
Protein Dynamics and Motions in Relation to Their Functions: Several Case Studies and the Underlying Mechanisms
10.1080/07391102.2013.770372 · 2014 · External reference
10.1016/s0079-6603(08)00403-0
10.1016/s0079-6603(08)00403-0 · External reference
Movement of the Intermediate and Rate Determining Transition State of Barnase on the Energy Landscape with Changing Temperature
10.1021/bi972798d · 1998 · External reference
10.1080/19420862.2017.1325052
10.1080/19420862.2017.1325052 · External reference
Nanobodies and Nanobody-Based Human Heavy Chain Antibodies as Antitumor Therapeutics
10.3389/fimmu.2017.01603 · 2017 · External reference
Biology Drives the Discovery of Bispecific Antibodies as Innovative Therapeutics
2020 · External reference
Unresolved reference
2015 · External reference
The State-of-Play and Future of Antibody Therapeutics
10.1016/j.addr.2016.11.004 · 2017 · External reference
Role of Buffers in Protein Formulations
10.1016/j.xphs.2016.11.014 · 2017 · External reference
10.1038/nrd1695
10.1038/nrd1695 · External reference
