Oranit Dror
Tel Aviv University
19 Papers
160 Citations
Oranit Dror is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Structural alignment & LigandScout. The author has an hindex of 16, co-authored 18 publications.
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Papers
PharmaGist: a webserver for ligand-based pharmacophore detection
TL;DR: This work presents a freely available web server, named PharmaGist, for pharmacophore detection, which does not require the structure of the target receptor and handles the flexibility of the input ligands explicitly and in deterministic manner within the alignment process.
Taking geometry to its edge: fast unbound rigid (and hinge-bent) docking.
Dina Schneidman-Duhovny,Yuval Inbar,Vladimir Polak,Maxim Shatsky,Inbal Halperin,Hadar Benyamini,Adi Barzilai,Oranit Dror,Nurit Haspel,Ruth Nussinov,Ruth Nussinov,Haim J. Wolfson +11 more
TL;DR: A very efficient rigid “unbound” soft docking methodology, which is based on detection of geometric shape complementarity, allowing liberal steric clash at the interface, avoiding the exhaustive search of the 6D transformation space.
MASS: multiple structural alignment by secondary structures.
TL;DR: An important novel feature of MASS is subset alignment detection: It does not require that all the input molecules be aligned, and is capable of detecting structural motifs shared only by a subset of the molecules.
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ARTS: alignment of RNA tertiary structures
TL;DR: A new computational method named ARTS (alignment of RNA tertiary structures), which compares two nucleic acid structures (RNAs or DNAs) and detects a-priori unknown common substructures and was used to conduct an all-against-all comparison of all the RNA structures currently available in the Protein Data Bank.
Multiple structural alignment by secondary structures: algorithm and applications.
TL;DR: By using conserved structural motifs, one can guide protein–protein docking, which is a notoriously difficult problem and is shown to be a combination of several important characteristics of MASS.
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