STRIDER: Steric hindrance estimator
Patro, L. P. P.; Rathinavelan, T.
Show abstract
In silico modeling plays a vital role in the de novo designing and docking of biomacromolecules as well as in exploring their conformational dynamics. Additionally, it has a major role in acquiring the structural insights from the parameters derived from the experimental techniques such as cryo-electron microscopy. Steric hindrance is one of the important measures to validate the accuracy of the constructed model. A web user interface (WUI) namely, STRIDER (steric hindrance estimator) (www.iith.ac.in/strider/) can estimate and report pairwise inter- and intra- molecular steric hindrances using the van der Waals radius of 117 elements through a user interactive interface. STRIDER also identifies and reports the coordination number of 64 metals along with their interacting pattern in an interactive mode. STRIDER can analyze an ensemble of conformers, wherein, multiple conformers are used to circumvent sampling issue in flexible docking, understand protein folding and facilitate structure based virtual screening. Further, it generates a pymol session file that can be used for offline analysis. As STRIDER simply requires the Cartesian coordinates of the given molecule in protein data bank format, any chemical structure can be an input. AvailabilityIt can be freely accessible through: www.iith.ac.in/strider/ without any registration. Theme Of the Concept O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/931550v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@7be933org.highwire.dtl.DTLVardef@10b2e30org.highwire.dtl.DTLVardef@1056b7eorg.highwire.dtl.DTLVardef@d42f28_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models 94%
- Prediction of disordered regions in proteins with recurrent Neural Networks and protein dynamics 93%
- Integrating multimeric threading with high-throughput experiments for structural interactome of Escherichia coli 93%
Similar papers in this journal
- MDM-TASK-web: MD-TASK and MODE-TASK web server for analyzing protein dynamics 95%
- Getting to know each other: PPIMem, a novel approach for predicting transmembrane protein-protein complexes 94%
- AlphaFold 2, but not AlphaFold 3, predicts confident but unrealistic beta-solenoid structures for repeat proteins 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.