Evidence map›Paper›PMID 22303903›Full record

ArticleJournal of chemical information and modeling2012

PDB ligand conformational energies calculated quantum-mechanically.

Markus Sitzmann, Iwona E Weidlich, Igor V Filippov, Chenzhong Liao, Megan L Peach, Wolf-Dietrich Ihlenfeldt, Rajeshri G Karki, Yulia V Borodina, Raul E Cachau, Marc C Nicklaus

Open access · greenAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Ligity: A Non-Superpositional, Knowledge-Based Approach to Virtual Screening.Journal of chemical information and modeling · 2019
    Article
  20. ProtMiscuity: a database of promiscuous proteins.Database : the journal of biological databases and curation · 2019
    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

10 authors at 2 institutions in 1 country.

Markus SitzmannChemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health , DHHS, NCI-Frederick, 376 Boyles Street, Frederick, Maryland 21702, USA.
Iwona E Weidlich
Igor V Filippov
Chenzhong Liao
Megan L Peach
Wolf-Dietrich Ihlenfeldt
Rajeshri G Karki
Yulia V Borodina
Raul E Cachau
Marc C Nicklaus
National Cancer Institute · USNational Center for Biotechnology Information · US

Funding

Fundamentals of Ligand-Protein InteractionsZIABC010832 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NICKLAUS, MARC · 2009 to 2024
$1.7M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA BC010832NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

We present here a greatly updated version of an earlier study on the conformational energies of protein-ligand complexes in the Protein Data Bank (PDB) [Nicklaus et al. Bioorg. Med. Chem. 1995, 3, 411-428], with the goal of improving on all possible aspects such as number and selection of ligand instances, energy calculations performed, and additional analyses conducted. Starting from about 357,000 ligand instances deposited in the 2008 version of the Ligand Expo database of the experimental 3D coordinates of all small-molecule instances in the PDB, we created a "high-quality" subset of ligand instances by various filtering steps including application of crystallographic quality criteria and structural unambiguousness. Submission of 640 Gaussian 03 jobs yielded a set of about 415 successfully concluded runs. We used a stepwise optimization of internal degrees of freedom at the DFT level of theory with the B3LYP/6-31G(d) basis set and a single-point energy calculation at B3LYP/6-311++G(3df,2p) after each round of (partial) optimization to separate energy changes due to bond length stretches vs bond angle changes vs torsion changes. Even for the most "conservative" choice of all the possible conformational energies-the energy difference between the conformation in which all internal degrees of freedom except torsions have been optimized and the fully optimized conformer-significant energy values were found. The range of 0 to ~25 kcal/mol was populated quite evenly and independently of the crystallographic resolution. A smaller number of "outliers" of yet higher energies were seen only at resolutions above 1.3 Å. The energies showed some correlation with molecular size and flexibility but not with crystallographic quality metrics such as the Cruickshank diffraction-component precision index (DPI) and R(free)-R, or with the ligand instance-specific metrics such as occupancy-weighted B-factor (OWAB), real-space R factor (RSR), and real-space correlation coefficient (RSCC). We repeated these calculations with the solvent model IEFPCM, which yielded energy differences that were generally somewhat lower than the corresponding vacuum results but did not produce a qualitatively different picture. Torsional sampling around the crystal conformation at the molecular mechanics level using the MMFF94s force field typically led to an increase in energy.

Indexed as

Databases, ProteinMolecular ConformationQuantum TheoryCrystallography, X-RayLigandsModels, MolecularSolventsThermodynamicsLigandsSolvents

Identifiers

PMID22303903
PMCPMC7491702
OpenAlexW2069344005

What OpenQuestion holds

Textmetadata
LicenceTDM
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.