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Enrique E. Abola

dblp:46/2342 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural bioinformatics
protein-ligand interaction analysis
0.011999
Automated analysis of interatomic contacts in proteins · Bioinform. 1999
Bioinformatics and computational biology
protein structure analysis
0.011999
Automated analysis of interatomic contacts in proteins · Bioinform. 1999
Bioinformatics and computational biology › protein structure analysis › protein surface analysis
solvent accessible surface
0.011999
Automated analysis of interatomic contacts in proteins · Bioinform. 1999

Methods — techniques the papers use, named apart from their topics

contact analysis · 0.0
YearPublicationVenuePosition
1999 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.
Vladimir Sobolev, Anatoly A. Sorokin, Jaime Prilusky, Enrique E. Abola, Marvin Edelman
Bioinform.4
1994 White Paper: Designing Medical Informatics Research and Library-Resource Projects to Increase What Is Learned
abstract
Careful study of medical informatics research and library-resource projects is necessary to increase the productivity of the research and development enterprise. Medical informatics research projects can present unique problems with respect to evaluation. It is not always possible to adapt directly the evaluation methods that are commonly employed in the natural and social sciences. Problems in evaluating medical informatics projects may be overcome by formulating system development work in terms of a testable hypothesis; subdividing complex projects into modules, each of which can be developed, tested and evaluated rigorously; and utilizing qualitative studies in situations where more definitive quantitative studies are impractical.
William W. Stead, Robert Brian Haynes, Sherrilynne S. Fuller, Charles P. Friedman, Larry E. Travis, J. Robert Beck, Carol H. Fenichel, B. Chandrasekaran 0001, Bruce G. Buchanan, Enrique E. Abola, MaryEllen C. Sievert, Reed M. Gardner, Judith Messerle, Conrade C. Jaffe, William R. Pearson, Robert M. Abarbanel
J. Am. Medical Informatics Assoc.10