ArticlePharmaceutical research2018
In Silico Prediction of Diffusion Interaction Parameter (k
Article in Pharmaceutical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Article
- Article
- Review
- Evaluating the impact of bioinspired counterion inclusion on silk nanoparticle physicochemical attributes and physical stability.Nanoscale advances · 2025Article
- Prediction of Self-Association and Solution Behavior of Monoclonal Antibodies Using the QCM-D Metric of Loosely Interacting Layer.Molecular pharmaceutics · 2025Article
- Article
- Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation.Scientific reports · 2023Article
- Structure-Based Optimization of Antibody-Based Biotherapeutics for Improved Developability: A Practical Guide for Molecular Modelers.Methods in molecular biology (Clifton, N.J.) · 2023Article
- How can we discover developable antibody-based biotherapeutics?Frontiers in molecular biosciences · 2023Review
- Use of Debye-Hückel-Henry charge measurements in early antibody development elucidates effects of non-specific association.Antibody therapeutics · 2022Article
- Assessment of Therapeutic Antibody Developability by Combinations of In Vitro and In Silico Methods.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Revisit PEG-Induced Precipitation Assay for Protein Solubility Assessment of Monoclonal Antibody Formulations.Pharmaceutical research · 2021Article
- Intrinsic physicochemical profile of marketed antibody-based biotherapeutics.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Computational approaches to therapeutic antibody design: established methods and emerging trends.Briefings in bioinformatics · 2020Review
- A single molecular descriptor to predict solution behavior of therapeutic antibodies.Science advances · 2020Article
- Multiscale Coarse-Grained Approach to Investigate Self-Association of Antibodies.Biophysical journal · 2020Article
- Mitigation of liquid-liquid phase separation of a monoclonal antibody by mutations of negative charges on the Fab surface.PloS one · 2020Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo develop resource-sparing in silico approaches that aim to reduce experimental effort and material required by developability assessments (DA) of monoclonal antibody (mAb) drug candidates.
methodsA battery of standardized biophysical experiments was performed on high concentration formulations of 16 drug product development stage mAbs using a platform buffer. Full-length molecular models of these mAbs were also generated via molecular modeling. These models were used to computationally estimate molecular descriptors of these 16 mAbs. Pairwise and multi-parameter correlations among experimentally measured biophysical attributes and calculated molecular descriptors were obtained via statistical analyses.
resultsDiffusion interaction parameter (k
conclusionsDiffusion interaction parameter (k
Indexed as
Identifiers
30128780What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.