Evidence map›Paper›PMID 33315217›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2021

Locating and Navigating Energy Transport Networks in Proteins.

Korey M Reid, David M Leitner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Korey M ReidDepartment of Chemistry and Chemical Physics Program, University of Nevada, Reno, NV, USA.
David M LeitnerDepartment of Chemistry and Chemical Physics Program, University of Nevada, Reno, NV, USA. dml@unr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We review computational methods to locate energy transport networks in proteins that are based on the calculation of local energy diffusion in nanoscale systems. As an illustrative example, we discuss energy transport networks computed for the homodimeric hemoglobin from Scapharca inaequivalvis, where channels for facile energy transport, which include the cluster of water molecules at the interface of the globules, have been found to lie along pathways that experiments reveal are important in allosteric processes. We also review recent work on master equation simulations to model energy transport dynamics, including efforts to relate rate constants in the master equation to protein structural dynamics. Results for apomyoglobin involving relations between fluctuations in the length of hydrogen bonds and the energy flux between them are presented.

Indexed as

AnimalsComputational BiologyComputer SimulationEnergy TransferHemoglobinsHydrogen BondingModels, MolecularProtein ConformationScapharcaWaterHemoglobinsWaterAllosteryEnergy transport networksNonbonded networksWater cluster

Identifiers

What OpenQuestion holds

Textmetadata
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.