Evidence map›Paper›PMID 36188301›Full record

ReviewACS omega2022

In Silico Studies of Active Probe Dynamics in Crowded Media.

Ligesh Theeyancheri, Rajiblochan Sahoo, Praveen Kumar, Rajarshi Chakrabarti

Abstract readReview
In one paragraph

Review in ACS omega, 2022. 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. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  2. Article
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

4 authors.

Ligesh TheeyancheriDepartment of Chemistry, Indian Institute of Technology Bombay, Mumbai, Maharashtra 400076, India.ORCID https://orcid.org/0000-0001-7973-4194
Rajiblochan SahooDepartment of Chemistry, Indian Institute of Technology Bombay, Mumbai, Maharashtra 400076, India.
Praveen KumarDepartment of Chemistry, Indian Institute of Technology Bombay, Mumbai, Maharashtra 400076, India.
Rajarshi ChakrabartiDepartment of Chemistry, Indian Institute of Technology Bombay, Mumbai, Maharashtra 400076, India.ORCID https://orcid.org/0000-0002-0785-1508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active systems are made of agents, each of which takes energy from the environment and converts it to directed motion. Therefore, by construction, these systems function out of equilibrium and cannot be described using equilibrium statistical mechanics. Though the most studied aspect has been the collective motion of active particles, the motion at the individual particle level in crowded media is also of prime importance. Examples include the motion of bacteria in hydrogels, single cell migration as a way to search for food or escape from toxic agents, and synthetic active agents transporting through soft crowded media. This review presents an overview of our understanding of single active probe dynamics in crowded media from computer simulations. The active probe is a Janus or a dumbbell-shaped particle, and the medium is made of crowders that are either sticky or repulsive to the probe and could be frozen or mobile. The density and the topology of the crowders also play an important role. We hope our in silico studies will help to elucidate the mechanism of activity-driven transport in crowded media in general and design nanomachines for targeted delivery.

Identifiers

PMID36188301
PMCPMC9520552

What OpenQuestion 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 OpenQuestion graph.