2002
DOI: 10.1093/bioinformatics/18.9.1250
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ESyPred3D: Prediction of proteins 3D structures

Abstract: christophe.lambert@fundp.ac.be; http://www.fundp.ac.be/~lambertc

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Cited by 551 publications
(367 citation statements)
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“…To investigate whether the lack of a C terminus in HAB1 changes the protein's structure, we obtained three-dimensional (3D) structures for both HAB1.1 and HAB1.2 using the ESyPred3D software 30 . As shown in Fig.…”
Section: Hab1 Undergoes Aba-controlled As During Early Developmentmentioning
confidence: 99%
“…To investigate whether the lack of a C terminus in HAB1 changes the protein's structure, we obtained three-dimensional (3D) structures for both HAB1.1 and HAB1.2 using the ESyPred3D software 30 . As shown in Fig.…”
Section: Hab1 Undergoes Aba-controlled As During Early Developmentmentioning
confidence: 99%
“…ESyPref3D is based on a strategy using neural networks to evaluate sequence alignments 75 and uses the MODELLER program 76,77 to build the final structural model. Homology models are constructed with MODELLER with a minimal sequence similarity of 50% to the target.…”
Section: Homology Modeling and Mutated Proteinsmentioning
confidence: 99%
“…The molecular model of RasGEF1b was built using the homology-modelling program ESyPred3D 40 that is based on a strategy using neural networks to evaluate sequence alignments. ESyPred3D uses the program MODELLER to build the final structural model.…”
Section: Three-dimensional Modelmentioning
confidence: 99%