2005 |
18 | EE | Robert J. Petrella,
Martin Karplus:
Electrostatic energies and forces computed without explicit interparticle interactions: A linear time complexity formulation.
Journal of Computational Chemistry 26(8): 755-787 (2005) |
2003 |
17 | EE | Robert J. Petrella,
Ioan Andricioaei,
Bernard R. Brooks,
Martin Karplus:
An improved method for nonbonded list generation: Rapid determination of near-neighbor pairs.
Journal of Computational Chemistry 24(2): 222-231 (2003) |
16 | EE | Marcus Elstner,
Qiang Cui,
Petra Munih,
Efthimios Kaxiras,
Thomas Frauenheim,
Martin Karplus:
Modeling zinc in biomolecules with the self consistent charge-density functional tight binding (SCC-DFTB) method: Applications to structural and energetic analysis.
Journal of Computational Chemistry 24(5): 565-581 (2003) |
15 | | Vincent Zoete,
Olivier Michielin,
Martin Karplus:
Protein-ligand binding free energy estimation using molecular mechanics and continuum electrostatics. Application to HIV-1 protease inhibitors.
Journal of Computer-Aided Molecular Design 17(12): 861-880 (2003) |
2001 |
14 | EE | Michael Schaefer,
Christian Bartels,
Fabrice Leclerc,
Martin Karplus:
Effective atom volumes for implicit solvent models: comparison between Voronoi volumes and minimum fluctuation volumes.
Journal of Computational Chemistry 22(15): 1857-1879 (2001) |
13 | EE | Ryan Bitetti-Putzer,
Diane Joseph-McCarthy,
James M. Hogle,
Martin Karplus:
Functional group placement in protein binding sites: a comparison of GRID and MCSS.
Journal of Computer-Aided Molecular Design 15(10): 935-960 (2001) |
12 | EE | Sung-Sau So,
Martin Karplus:
Evaluation of designed ligands by a multiple screening method: Application to glycogen phosphorylase inhibitors constructed with a variety of approaches.
Journal of Computer-Aided Molecular Design 15(7): 613-647 (2001) |
2000 |
11 | EE | Sung-Sau So,
Steven P. van Helden,
Vincent J. van Geerestein,
Martin Karplus:
Quantitative Structure-Activity Relationship Studies of Progesterone Receptor Binding Steroids.
Journal of Chemical Information and Computer Sciences 40(3): 762-772 (2000) |
10 | EE | Amedeo Caflisch,
Hans J. Schramm,
Martin Karplus:
Design of dimerization inhibitors of HIV-1 aspartic proteinase: A computer-based combinatorial approach.
Journal of Computer-Aided Molecular Design 14(2): 161-179 (2000) |
1999 |
9 | EE | Sung-Sau So,
Martin Karplus:
A comparative study of ligand-receptor complex binding affinity prediction methods based on glycogen phosphorylase inhibitors.
Journal of Computer-Aided Molecular Design 13(3): 243-258 (1999) |
1997 |
8 | EE | Christian Bartels,
Martin Karplus:
Multidimensional adaptive umbrella sampling: Applications to main chain and side chain peptide conformations.
Journal of Computational Chemistry 18(12): 1450-1462 (1997) |
7 | EE | Amedeo Caflisch,
Stefan Fischer,
Martin Karplus:
Docking by Monte Carlo minimization with a solvation correction: Application to an FKBP - substrate complex.
Journal of Computational Chemistry 18(6): 723-743 (1997) |
1996 |
6 | EE | Arnaud Blondel,
Martin Karplus:
New formulation for derivatives of torsion angles and improper torsion angles in molecular mechanics: Elimination of singularities.
Journal of Computational Chemistry 17(9): 1132-1141 (1996) |
5 | | Peter D. J. Grootenhuis,
Martin Karplus:
Functionality map analysis of the active site cleft of human thrombin.
Journal of Computer-Aided Molecular Design 10(1): 1-10 (1996) |
1995 |
4 | | Bernard R. Brooks,
Dusanka Janezic,
Martin Karplus:
Harmonic Analysis of Large Systems. I. Methodology.
Journal of Computational Chemistry 16(12): 1522-1542 (1995) |
3 | | Dusanka Janezic,
Martin Karplus:
Harmonic Analysis of Large Systems. II. Comaprison of Different Protein Models.
Journal of Computational Chemistry 16(12): 1543-1553 (1995) |
2 | | Dusanka Janezic,
Richard M. Venable,
Martin Karplus:
Harmonic Analysis of Large Systems. III. Comparison with Molecular Dynamics.
Journal of Computational Chemistry 16(12): 1554-1568 (1995) |
1 | | Benoît Roux,
Martin Karplus:
Potential Energy Function for Cation-Peptide Interactions: An Ab Initio Study.
Journal of Computational Chemistry 16(6): 690-704 (1995) |