The DOI matches its Crossref record.
Automated analysis of interatomic contacts in proteins.
Abstract
MOTIVATION: New software has been designed to assist the molecular biologist in understanding the structural consequences of modifying a ligand and/or protein. RESULTS: Tools are described for the analysis of ligand-protein contacts (LPC software) and contacts of structural units (CSU software) such as helices, sheets, strands and residues. Our approach is based on a detailed analysis of interatomic contacts and interface complementarity. For any ligand or structural unit, these software automatically: (i) calculate the solvent-accessible surface of every atom; (ii) determine the contacting residues and type of interaction they undergo (hydrophobic-hydrophobic, aromatic-aromatic, etc.); (iii) indicate all putative hydrogen bonds. LPC software further predicts changes in binding strength following chemical modification of the ligand. AVAILABILITY: Both LPC and CSU can be accessed through the PDB and are integrated in the 3DB Atlas page of all PDB files. For any given file, the tools can also be accessed at http://www.pdb.bnl. gov/pdb-bin/lpc?PDB_ID= and http://www.pdb.bnl. gov/pdb-bin/csu?PDB_ID= with the four-letter PDB code added at the end in each case. Finally, LPC and CSU can be accessed at: http://sgedg.weizmann.ac.il/lpc and http://sgedg.weizmann.ac.il/csu.
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Citations
Cited by
Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196
PLIP: fully automated protein–ligand interaction profiler
Salentin, S., Schreiber, S., Haupt, V. J., Adasme, M. F., & Schroeder, M. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv315 · Cited by 2,340
A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains
Irimia, M., Weatheritt, R. J., Ellis, J. D., Parikshak, N. N., Gonatopoulos-Pournatzis, T., Babor, M., Quesnel-Vallières, M., Tapial, J., Raj, B., O’Hanlon, D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.035 · Cited by 693
“Next, to determine the presence of the microexon in relation to the predicted APBB1-PTB1 binding interface, we utilized the CSU algorithm (Sobolev et al., 1999) to analyze the atomic distances between the superimposed APBB1-PTB1 domain and the APP protein fragment.”
MethodChen, Y.-C. (2015) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2014.12.001 · Cited by 611
Network Analysis of Protein Structures Identifies Functional Residues
Amitai, G., Shemesh, A., Sitbon, E., Shklar, M., Netanely, D., Venger, I., & Pietrokovski, S. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.10.055 · Cited by 499
Metadata
- Authors
- Sobolev, V, Sorokine, A., Prilusky, J., Abola, E. E., & Edelman, M.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-04-01
- Volume
- 15
- Issue
- 4
- Pages
- 327-332
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2151550848
- Cited by
- 800
- References
- 0
- FWCI
- 3.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sobolev, V, Sorokine, A., Prilusky, J., Abola, E. E., & Edelman, M. (1999). Automated analysis of interatomic contacts in proteins. Bioinformatics. https://doi.org/10.1093/bioinformatics/15.4.327
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