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Dhilon S. Patel

dblp:41/7929 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural bioinformatics › macromolecular structure analysis
glycan structure analysis
0.312017
Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank · Bioinform. 2017
Bioinformatics and computational biology › structural bioinformatics › macromolecular structure analysis
glycan structure assignment
0.312017
Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank · Bioinform. 2017
Bioinformatics and computational biology
structural bioinformatics
0.312017
Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank · Bioinform. 2017

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

connectivity analysis · 0.3atomic coordinate analysis · 0.3
YearPublicationVenuePosition
2017 Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank
abstract
MOTIVATION: Glycans play a central role in many essential biological processes. Glycan Reader was originally developed to simplify the reading of Protein Data Bank (PDB) files containing glycans through the automatic detection and annotation of sugars and glycosidic linkages between sugar units and to proteins, all based on atomic coordinates and connectivity information. Carbohydrates can have various chemical modifications at different positions, making their chemical space much diverse. Unfortunately, current PDB files do not provide exact annotations for most carbohydrate derivatives and more than 50% of PDB glycan chains have at least one carbohydrate derivative that could not be correctly recognized by the original Glycan Reader. RESULTS: Glycan Reader has been improved and now identifies most sugar types and chemical modifications (including various glycolipids) in the PDB, and both PDB and PDBx/mmCIF formats are supported. CHARMM-GUI Glycan Reader is updated to generate the simulation system and input of various glycoconjugates with most sugar types and chemical modifications. It also offers a new functionality to edit the glycan structures through addition/deletion/modification of glycosylation types, sugar types, chemical modifications, glycosidic linkages, and anomeric states. The simulation system and input files can be used for CHARMM, NAMD, GROMACS, AMBER, GENESIS, LAMMPS, Desmond, OpenMM, and CHARMM/OpenMM. Glycan Fragment Database in GlycanStructure.Org is also updated to provide an intuitive glycan sequence search tool for complex glycan structures with various chemical modifications in the PDB. AVAILABILITY AND IMPLEMENTATION: http://www.charmm-gui.org/input/glycan and http://www.glycanstructure.org. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Jumin Lee, Dhilon S. Patel, Hongjing Ma, Hui Sun Lee, Sunhwan Jo, Wonpil Im
Bioinform.3