Evidence map›Paper›PMID 40487000›Full record

ArticleCrystal growth & design2025

An Integrated Experimental and Modeling Approach for Crystallization of Complex Biotherapeutics.

Vivekananda Bal, Moo Sun Hong, Jacqueline M Wolfrum, Paul W Barone, Stacy L Springs, Anthony J Sinskey, Robert M Kotin, Richard D Braatz

Abstract read
In one paragraph

Article in Crystal growth & design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Mathematical Modeling.Advances in biochemical engineering/biotechnology · 2026
    Review
  2. Image Analysis Methodologies.Advances in biochemical engineering/biotechnology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Vivekananda BalDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, United States.ORCID https://orcid.org/0000-0002-8204-3308
Moo Sun HongSchool of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea.ORCID https://orcid.org/0000-0003-2274-5030
Jacqueline M WolfrumCenter for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, United States.
Paul W BaroneCenter for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, United States.ORCID https://orcid.org/0000-0001-6802-6846
Stacy L SpringsCenter for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, United States.ORCID https://orcid.org/0000-0003-2133-5689
Anthony J SinskeyCenter for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, United States.ORCID https://orcid.org/0000-0002-1015-1270
Robert M KotinCenter for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, United States.
Richard D BraatzDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, United States.ORCID https://orcid.org/0000-0003-4304-3484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crystallization of proteins, specifically proteins of medical relevance, is performed for various reasons, such as to understand the protein structure and to design therapies. Obtaining kinetic constants in rate laws for nucleation and growth of advanced biotherapeutics such as capsids, an assembly of macromolecules, is challenging and essential to the design of crystallization processes. In this work, coupled population balance and species balance equations are developed to extract nucleation and growth kinetics for the crystallization of recombinant adeno-associated virus (rAAV) capsids. A comparison of model results with that of experimental data for capsid crystallization in a hanging-drop vapor diffusion system shows that the slow rate of vapor diffusion from the droplet controls the initial nucleation and growth processes, and the capsid nucleation occurs via heterogeneous nucleation in the microdroplet. Results also show that the capsids, which are of very high molecular weight (∼3.6 MDa), have a similar tendency to nucleate as small organic molecules such as glycine (∼75 Da), low-molecular-weight proteins, and small-molecule active pharmaceutical ingredients due to their ball-shaped outer structure/shape. Capsids also show a prolonged nucleation period as for proteins and other macromolecules but have a slow growth rate with a growth rate prefactor seven orders of magnitude smaller than that of lysozyme. The capsid crystal growth rate is weakly sensitive to supersaturation compared to lysozyme and is limited by the transport of capsids due to slow Brownian motion resulting from the very high molecular weight.

Identifiers

PMID40487000
PMCPMC12142576

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.