A new method is presented for extracting statistical potentials dependent on the relative side chain and backbone orientations in proteins. Coarse-grained, anisotropic potentials are constructed for short-, medium-, and long-range interactions using the Boltzmann method and a database of non-homologous protein structures. The new orientation-dependent potentials are analyzed using a spherical harmonics decomposition method with real eigenfunctions. This method permits a more realistic, continuous angular representation of the coarse-grained potentials. Results of tests for discriminating the native protein conformations from large sets of decoy proteins, show that the new continuous distance- and orientation-dependent potentials present sig...
Multipole (MTP) electrostatics provides the means to describe anisotropic interactions in a rigorous...
AbstractProtein conformational dynamics, despite its significant anharmonicity, has been widely expl...
We developed theories and algorithms for two coarse-grained implicit solvent models that can be depl...
We develop coarse-grained, distance- and orientation-dependent statistical potentials from the growi...
ABSTRACT: Gay−Berne anisotropic potential has been widely used to evaluate the nonbonded interaction...
The use of local covalent geometry for quality assessment and re-finement of protein structure model...
Gay–Berne anisotropic potential has been widely used to evaluate the nonbonded interactions between ...
SummaryNormal mode analysis offers an efficient way of modeling the conformational flexibility of pr...
We present a solvent-implicit minimalistic model potential among the amino acid residues of proteins...
We have developed an approach to coarse-grained (CG) modeling of the van der Waals (vdW) type of int...
We present a new generation of coarse-grained (CG) potentials that account for a simplified electros...
Recent studies have revealed the key role of natively unfolded proteins in many important biological...
Novel statistical potentials derived from known protein structures are presented. They are designed ...
The proper biological functioning of proteins often relies on the occurrence of coordinated fluctuat...
An accurate potential function is essential to attack protein folding and structure prediction probl...
Multipole (MTP) electrostatics provides the means to describe anisotropic interactions in a rigorous...
AbstractProtein conformational dynamics, despite its significant anharmonicity, has been widely expl...
We developed theories and algorithms for two coarse-grained implicit solvent models that can be depl...
We develop coarse-grained, distance- and orientation-dependent statistical potentials from the growi...
ABSTRACT: Gay−Berne anisotropic potential has been widely used to evaluate the nonbonded interaction...
The use of local covalent geometry for quality assessment and re-finement of protein structure model...
Gay–Berne anisotropic potential has been widely used to evaluate the nonbonded interactions between ...
SummaryNormal mode analysis offers an efficient way of modeling the conformational flexibility of pr...
We present a solvent-implicit minimalistic model potential among the amino acid residues of proteins...
We have developed an approach to coarse-grained (CG) modeling of the van der Waals (vdW) type of int...
We present a new generation of coarse-grained (CG) potentials that account for a simplified electros...
Recent studies have revealed the key role of natively unfolded proteins in many important biological...
Novel statistical potentials derived from known protein structures are presented. They are designed ...
The proper biological functioning of proteins often relies on the occurrence of coordinated fluctuat...
An accurate potential function is essential to attack protein folding and structure prediction probl...
Multipole (MTP) electrostatics provides the means to describe anisotropic interactions in a rigorous...
AbstractProtein conformational dynamics, despite its significant anharmonicity, has been widely expl...
We developed theories and algorithms for two coarse-grained implicit solvent models that can be depl...