Evidence map›Paper›PMID 31477851›Full record

ReviewNature chemistry2019

Towards the online computer-aided design of catalytic pockets.

Laura Falivene, Zhen Cao, Andrea Petta, Luigi Serra, Albert Poater, Romina Oliva, Vittorio Scarano, Luigi Cavallo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 254 papers.

0numbers the graph read from it
0cells of the map it votes in
254citing 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

254 citing papers in PubMed.

  1. Article
  2. Article
  3. Boosting COJournal of computational chemistry · 2026
    Article
  4. Article
  5. Synthesis and One-Electron Reduction of Donor-Acceptor-Stabilized SiAngewandte Chemie (International ed. in English) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Searching for Suitable [Cu(N^N){(PPhInorganic chemistry · 2026
    Article
  18. Article
  19. Article
  20. IPr*Dalton transactions (Cambridge, England : 2003) · 2026
    Article

194 more citing papers are in PubMed but not listed here.

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

8 authors.

Laura FaliveneCatalysis Research Center, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID http://orcid.org/0000-0003-1509-6191
Zhen CaoCatalysis Research Center, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Andrea PettaDipartimento di Informatica ed Applicazioni, University of Salerno, Fisciano, Italy.
Luigi SerraDipartimento di Informatica ed Applicazioni, University of Salerno, Fisciano, Italy.
Albert PoaterCatalysis Research Center, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID http://orcid.org/0000-0002-8997-2599
Romina OlivaDepartment of Sciences and Technologies, University Parthenope of Naples, Naples, Italy.ORCID http://orcid.org/0000-0002-6156-6249
Vittorio ScaranoDipartimento di Informatica ed Applicazioni, University of Salerno, Fisciano, Italy.ORCID http://orcid.org/0000-0001-8437-5253
Luigi CavalloCatalysis Research Center, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. luigi.cavallo@kaust.edu.sa.ORCID http://orcid.org/0000-0002-1398-338X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The engineering of catalysts with desirable properties can be accelerated by computer-aided design. To achieve this aim, features of molecular catalysts can be condensed into numerical descriptors that can then be used to correlate reactivity and structure. Based on such descriptors, we have introduced topographic steric maps that provide a three-dimensional image of the catalytic pocket-the region of the catalyst where the substrate binds and reacts-enabling it to be visualized and also reshaped by changing various parameters. These topographic steric maps, especially when used in conjunction with density functional theory calculations, enable catalyst structural modifications to be explored quickly, making the online design of new catalysts accessible to the wide chemical community. In this Perspective, we discuss the application of topographic steric maps either to rationalize the behaviour of known catalysts-from synthetic molecular species to metalloenzymes-or to design improved catalysts.

Indexed as

Computer-Aided DesignDensity Functional TheoryImaging, Three-DimensionalBiocatalysisMetalloproteinsMetalloproteins

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.