Evidence map›Paper›PMID 23962892›Full record

ArticleJournal of structural biology2014

Computational design of protein-small molecule interfaces.

Brittany Allison, Steven Combs, Sam DeLuca, Gordon Lemmon, Laura Mizoue, Jens Meiler

Abstract read
In one paragraph

Article in Journal of structural biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Computational design of membrane proteins using RosettaMembrane.Protein science : a publication of the Protein Society · 2018
    Article
  9. Article
  10. Review
  11. Rosetta and the Design of Ligand Binding Sites.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
  12. Article
  13. 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

6 authors.

Brittany AllisonDepartment of Chemistry, 7330 Stevenson Center, Station B 351822, Nashville, TN 37235, USA.
Steven CombsDepartment of Chemistry, 7330 Stevenson Center, Station B 351822, Nashville, TN 37235, USA.
Sam DeLucaChemical and Physical Biology Program, 340 Light Hall, Nashville, TN 37232, USA.
Gordon LemmonChemical and Physical Biology Program, 340 Light Hall, Nashville, TN 37232, USA.
Laura MizoueDepartment of Biochemistry, 607 Light Hall, Nashville, TN 37232, USA; Center for Structural Biology, 465 21st Avenue South, Nashville, TN 37232, USA.
Jens MeilerDepartment of Chemistry, 7330 Stevenson Center, Station B 351822, Nashville, TN 37235, USA; Chemical and Physical Biology Program, 340 Light Hall, Nashville, TN 37232, USA; Department of Pharmacology, 476 Robinson Research Building, 2220 Pierce Avenue, Nashville, TN 37232, USA; Department of Biomedical Informatics, 400 Eskind Biomedical Library, 2209 Garland Ave, Nashville, TN 37232, USA; Center for Structural Biology, 465 21st Avenue South, Nashville, TN 37232, USA; Institute for Chemical Biology, 896 Preston Research Building, Nashville, TN 37232, USA. Electronic address: jens@meilerlab.org.

Funding

MOLECULAR BIOPHYSICS TRAINING PROGRAM AT VANDERBILTT32GM008320 · NIGMS · VANDERBILT UNIVERSITY · PI CHAZIN, WALTER J. · 1989 to 2023
$7.9M
Chemistry-Biology Interface Training GrantT32GM065086 · NIGMS · VANDERBILT UNIVERSITY · PI BACHMANN, BRIAN O, SULIKOWSKI, GARY ALLEN · 2002 to 2022
$7.0M
Computational Design of Protein-Ligand Interfaces - a Therapeutic StrategyR01GM099842 · NIGMS · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2012 to 2015
$1.3M
NIGMS NIH HHS R01 GM099842NIGMS NIH HHS R01GM099842NIGMS NIH HHS T32 GM008320NIGMS NIH HHS T32 GM065086
6 · The paper itself

Abstract

The computational design of proteins that bind small molecule ligands is one of the unsolved challenges in protein engineering. It is complicated by the relatively small size of the ligand which limits the number of intermolecular interactions. Furthermore, near-perfect geometries between interacting partners are required to achieve high binding affinities. For apolar, rigid small molecules the interactions are dominated by short-range van der Waals forces. As the number of polar groups in the ligand increases, hydrogen bonds, salt bridges, cation-π, and π-π interactions gain importance. These partial covalent interactions are longer ranged, and additionally, their strength depends on the environment (e.g. solvent exposure). To assess the current state of protein-small molecule interface design, we benchmark the popular computer algorithm Rosetta on a diverse set of 43 protein-ligand complexes. On average, we achieve sequence recoveries in the binding site of 59% when the ligand is allowed limited reorientation, and 48% when the ligand is allowed full reorientation. When simulating the redesign of a protein binding site, sequence recovery among residues that contribute most to binding was 52% when slight ligand reorientation was allowed, and 27% when full ligand reorientation was allowed. As expected, sequence recovery correlates with ligand displacement.

Indexed as

Molecular Docking SimulationAlgorithmsAmino Acid SequenceBinding SitesLigandsProtein BindingProtein EngineeringProteinsSoftwareLigandsProteinsComputational interface designLigand dockingProtein-small molecule interactionRosettaRosettaLigandSequence optimization

Identifiers

PMID23962892
PMCPMC3946393

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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.