2019
DOI: 10.1002/jcc.26006
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DelPhi Suite: New Developments and Review of Functionalities

Abstract: Electrostatic potential, energies, and forces affect virtually any process in molecular biology, however, computing these quantities is a difficult task due to irregularly shaped macromolecules and the presence of water. Here, we report a new edition of the popular software package DelPhi along with describing its functionalities. The new DelPhi is a C++ object‐oriented package supporting various levels of multiprocessing and memory distribution. It is demonstrated that multiprocessing results in significant i… Show more

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Cited by 54 publications
(49 citation statements)
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“…Electrostatic potential of surface of VrMPP-b (A) and VrMPP-a (B). Electrostatic potential was calculated using Delphi [90], [91] , with standard parameters. Red, negative; white, neutral; blue, positive.…”
Section: P Smentioning
confidence: 99%
“…Electrostatic potential of surface of VrMPP-b (A) and VrMPP-a (B). Electrostatic potential was calculated using Delphi [90], [91] , with standard parameters. Red, negative; white, neutral; blue, positive.…”
Section: P Smentioning
confidence: 99%
“…Further, in each panel, the molecular partner represented as 'cartoon' is colored 'yellow', if it is contributing to the potential (i.e., in case of partner-potentials), and, 'dim gray' otherwise (self-potentials). The electrostatic surface coloring was done in Chimera [108] using Delphi [41] electrostatic focusing files (.cube) with a color scale set to -10 kT/e for 'pure blue' to +10 kT/e for 'pure red'. As can be seen, there is very little match of counter-colors (red and blue's) between corresponding patches on both 'contact surfaces' (ligand and receptor) due their respective self-and partner-potentials -which means weak anti-correlation due to unfavorable electrostatic interactions.…”
Section: Resultsmentioning
confidence: 99%
“…Electrostatic Complementarity (EC) at the protein-protein interfaces was adopted as originally prescribed by McCoy et al, [32] wherein, the surface electrostatic potential was computed for each interfacial protein surface twice, one time each for the contribution of each partner molecule (taken as 'target' and 'neighbor'). The surface electrostatic potentials were computed by numerically solving the Poisson-Boltzmann equation (using Delphi v8.4 [41]) implementing its finite difference method, wherein, the protein dielectric was modeled as a smooth Gaussian function of distance from its center of mass [42]). This returns two troughs of potential values for each intrefacial surface and the negative of the Pearson's correlation is defined as the EC at each interfacial surface (see eq.2).…”
Section: =mentioning
confidence: 99%
“…DelPhi Suite [75] is available at http://compbio.clemson.edu/sapp/delphi_webserver/ or as a standalone software. This popular platform has been redesigned, utilizing the object-oriented programming technique and other unique features provided by C++ to ensure various levels of multiprocessing and memory distribution.…”
Section: Computational Analysis and Prediction Toolsmentioning
confidence: 99%