PDBminer to Find and Annotate Protein Structures for Computa…

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6
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2023
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  • DOI 10.1021/acs.jcim.3c00884
  • PMID https://pubmed.ncbi.nlm.nih.gov/37977136
  • OpenAlex ID W4388749535
  • Type Article
  • Language EN
  • Published 17 Nov 2023
  • Volume 63 (23)
  • Pages 7274–7281
  • Source Journal of Chemical Information and Mode…
  • Publisher American Chemical Society
  • FWCI 0.37
  • Countries 1
  • Institutions 1
  • Added 10 Oct 2025
  • Updated 14 Oct 2026
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PDBminer to Find and Annotate Protein Structures for Computational Analysis

Article 2023 EN Green

Abstract Structural bioinformatics and molecular modeling of proteins strongly depend on the protein structure selected for investigation. The choice of protein structure relies on direct application from the Protein Data Bank (PDB), homology- or de-novo modeling. Recent de-novo models, such as AlphaFold2, require little preprocessing and omit the need to navigate the many parameters of choosing a…

6

Citations

47

References

4

Authors

0.37

FWCI

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4 authors
#AuthorInstitutionsORCID
1 Kristine Degn Technical University of Denmar… (DK)
2 Ludovica Beltrame Technical University of Denmar… (DK)
3 Matteo Tiberti —
4 Elena Papaleo Corresponding Technical University of Denmar… (DK)

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