Evidence map›Paper›PMID 29497866›Full record

ArticleJournal of molecular modeling2018

Exploring the differences and similarities between urea and thermally driven denaturation of bovine serum albumin: intermolecular forces and solvation preferences.

Osita Sunday Nnyigide, Sun-Gu Lee, Kyu Hyun

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 36 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Osita Sunday NnyigideSchool of Chemical and Biomolecular Engineering, Pusan National University, Busan, 609-735, Republic of Korea.
Sun-Gu LeeSchool of Chemical and Biomolecular Engineering, Pusan National University, Busan, 609-735, Republic of Korea.
Kyu HyunSchool of Chemical and Biomolecular Engineering, Pusan National University, Busan, 609-735, Republic of Korea. kyuhyun@pusan.ac.kr.ORCID http://orcid.org/0000-0001-5129-5169
Pusan National University · KR

Funding

National Research Foundation of Korea 2015R1D1A1A09057413
6 · The paper itself

Abstract

The interactions of bovine serum albumin (BSA) with urea/water were investigated by computer simulation. It was revealed that the BSA-hydrophobic residues in urea solutions favored contact with urea more than with water. Energy decomposition analysis showed that van der Waals energy was the dominant driving force behind urea affinity for hydrophobic residues, whereas coulombic attraction was largely responsible for water affinity for these residues. Meanwhile, urea-BSA hydrogen bond energies were found to be weaker than water-BSA hydrogen bond energies. The greater strength of water-BSA hydrogen bonds than urea-BSA hydrogen bonds, and the opposing preferential interaction between the BSA and urea suggest that disruption of hydrophobic interaction predominates urea-protein denaturation. In pure water, hydrophobic residues showed aggregation tendencies at 323 K, suggesting an increase in hydrophobicity, while at 353 K the residues were partly denatured due to loss of hydrogen bonds; thus, disruption of hydrophobic interactions appeared to contribute less to thermal denaturation.

Indexed as

Computer SimulationEntropyHot TemperatureHydrogen BondingHydrophobic and Hydrophilic InteractionsProtein DenaturationSerum Albumin, BovineSolventsUreaWaterSerum Albumin, BovineSolventsUreaWaterBovine serum albuminComputer simulationCoulombic attractionEntropic contributionsHydrogen bond energies

Identifiers

PMID29497866
OpenAlexW2790485042

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.