2009
DOI: 10.1007/s10822-009-9293-0
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Challenges of fragment screening

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Cited by 14 publications
(9 citation statements)
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“…Although based on the training set results we were not expecting better predictions, for the sake of completeness the remaining six protocols (4)(5)(6)(7)(8)(9) were also evaluated in the virtual screening of the SAMPL3-VS dataset.…”
Section: Fragment Virtual Screeningmentioning
confidence: 99%
See 1 more Smart Citation
“…Although based on the training set results we were not expecting better predictions, for the sake of completeness the remaining six protocols (4)(5)(6)(7)(8)(9) were also evaluated in the virtual screening of the SAMPL3-VS dataset.…”
Section: Fragment Virtual Screeningmentioning
confidence: 99%
“…The use of fragment-based approaches in drug design and particularly in virtual screening has known an explosive development in recent years [1][2][3][4][5][6][7]. In some instances, this approach has been successfully used as a less expensive alternative to the NMR and X-ray crystallography techniques for the assessment of binding site druggability [8].…”
Section: Introductionmentioning
confidence: 99%
“…Virtual fragment screening also has proven useful and even for difficult test cases it can yield results that are significantly better than random screening. A number of challenges still remain, though. Weak fragment hits are still often overlooked in favor of more potent HTS hits with poorer physical properties and ligand efficiencies. This bias is largely due to the fact that there is increasing pressure to shorten drug discovery timelines.…”
Section: Fblg Strategiesmentioning
confidence: 99%
“…Small chemical structures or fragments (usually of 150−250 molecular weight and weak affinity) are screened to probe the protein’s binding site to identify larger and more potent binding molecules. Although most platforms are laboratory-based, in silico techniques are emerging . Most computational methods employ well-established virtual screening techniques such as docking or pharmacophore generation together with a library of low molecular weight “fragments” to identify ligands that have a high probability of binding .…”
Section: Introductionmentioning
confidence: 99%
“…Although most platforms are laboratory-based, in silico techniques are emerging. 5 Most computational methods employ well-established virtual screening techniques such as docking or pharmacophore generation together with a library of low molecular weight "fragments" to identify ligands that have a high probability of binding. 6 Free-energy calculation by systematic sampling followed by de novo assembly of fragments has also been developed.…”
Section: Introductionmentioning
confidence: 99%