Evidence map›Paper›PMID 42423903›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Molecular Architecture and Energy Visualization: Advancing Insights into Protein Structure, Interactions, and Activity.

Luis A Landrau Correa, Owen Borden, Oscar Claudio Ares, Arthur D Tinoco

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. 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

4 authors.

Luis A Landrau CorreaDepartment of Biology, University of Puerto Rico-Río Piedras, San Juan, Puerto Rico. luis.landrau2@upr.edu.
Owen BordenDepartment of Chemistry, University of Puerto Rico-Río Piedras, San Juan, Puerto Rico.
Oscar Claudio AresDepartment of Chemistry, University of Puerto Rico-Río Piedras, San Juan, Puerto Rico.
Arthur D TinocoDepartment of Chemistry, University of Puerto Rico-Río Piedras, San Juan, Puerto Rico. arthur.tinoco@upr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein biochemistry continues to progress rapidly through ongoing discoveries, from newly identified proteins to fascinating structural insights into mechanisms. Since proteins are the main machinery of cellular life, the desire to visualize their structure, whether through experimental or computationally obtained methods, has greatly increased. The ability to see proteins in three dimensions has become an essential tool in structural biology, protein design, drug development, and related fields. Among the available tools, PyMOL has become one of the most versatile and easy-to-learn platforms for structure visualization, allowing researchers to closely examine proteins and analyze their structural features. This chapter briefly explains how amino acids influence protein structure, then describes the hierarchical levels of protein organization. It illustrates how tertiary and potential quaternary structures form from energy landscapes that direct proper folding. Key regulatory interactions, such as allostery and metal binding, are highlighted. The chapter concludes by discussing PyMOL features for analyzing pH-dependent charge states, solvent accessibility, and structural or sequence alignments to better understand conformational changes and gain deeper structural insights.

Indexed as

ProteinsAmino AcidsModels, MolecularProtein BindingProtein ConformationProtein FoldingSoftwareAmino AcidsProteinsAllosteryProtein charge statesProtein electrostaticsProtein energy landscapeProtein sequence and structural alignmentProtein structurePyMOLStructure–activity relationship

Identifiers

What OpenQuestion holds

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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.