A. Mamonov

发表

Insights into the Architecture of the eIF2Bα/β/δ Regulatory Subcomplex

S. Vajda, D. Kozakov, B. Xia, 2014, Biochemistry.

Extending fragment‐based free energy calculations with library monte carlo simulation: Annealing in interaction space

D. Zuckerman, A. Mamonov, S. Lettieri, 2010, J. Comput. Chem..

Integrated library-based growth and Monte Carlo simulations allow for improved sampling and free energy measurements

D. Zuckerman, A. Mamonov, S. Lettieri, 2010 .

Efficient Equilibrium Sampling of All-Atom Peptides using Library-Based Monte Carlo

D. Zuckerman, A. Mamonov, Ying Ding, 2009, 0910.2509.

Efficient Equilibrium Sampling of All-Atom Peptides using Library-Based Monte Carlo

D. Zuckerman, A. Mamonov, Ying Ding, 2009, 0910.2509.

A library-based Monte Carlo technique enables rapid equilibrium sampling of a protein model with atomistic components

D. Bhatt, D. Zuckerman, A. Mamonov, 2008, 0809.3809.

Pyroelectric composites based on LaBSiO5 stillwellite

V. Sigaev, P. Pernice, A. Aronne, 2000 .

Prediction of homoprotein and heteroprotein complexes by protein docking and template‐based modeling: A CASP‐CAPRI experiment

Daisuke Kihara, Keehyoung Joo, Daisuke Kuroda, 2016, Proteins.

Modeling ion and water permeation through narrow biological channels

A. Mamonov, 2006 .

Focused grid‐based resampling for protein docking and mapping

Ioannis Ch. Paschalidis, Mohammad Moghadasi, Dima Kozakov, 2016, J. Comput. Chem..

The role of the dielectric barrier in narrow biological channels: a novel composite approach to modeling single-channel currents.

Abraham Nitzan, Artem B Mamonov, Rob D Coalson, 2003, Biophysical journal.

Protein–ligand docking using FFT based sampling: D3R case study

Mohammad Moghadasi, Dima Kozakov, Dmitri Beglov, 2017, Journal of Computer-Aided Molecular Design.

The Impact of Side-Chain Packing on Protein Docking Refinement

Ioannis Ch. Paschalidis, Mohammad Moghadasi, Dima Kozakov, 2015, J. Chem. Inf. Model..

A message passing approach to Side Chain Positioning with applications in protein docking refinement

Ioannis Ch. Paschalidis, Mohammad Moghadasi, Dima Kozakov, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Tunable, mixed-resolution modeling using library-based Monte Carlo and graphics processing units.

Ying Ding, Daniel M Zuckerman, Artem B Mamonov, 2012, Journal of chemical theory and computation.

Thermal motions of the E. coli glucose-galactose binding protein studied using well-sampled, semi-atomistic simulations.

D. Bhatt, D. Zuckerman, A. Mamonov, 2009, Current topics in medicinal chemistry.

General library-based Monte Carlo technique enables equilibrium sampling of semi-atomistic protein models.

Ying Ding, Daniel M Zuckerman, Divesh Bhatt, 2009, The journal of physical chemistry. B.

Accounting for observed small angle X‐ray scattering profile in the protein–protein docking server cluspro

Bing Xia, Ioannis Ch. Paschalidis, Dima Kozakov, 2015, J. Comput. Chem..

Efficient equilibrium sampling of all-atom peptides using library-based Monte Carlo.

Daniel M Zuckerman, Artem B Mamonov, D. Zuckerman, 2010, The journal of physical chemistry. B.

Modeling the fast gating mechanism in the ClC-0 chloride channel.

M. H. Cheng, R. Coalson, A. Mamonov, 2007, The journal of physical chemistry. B.

Diffusion constant of K+ inside Gramicidin A: a comparative study of four computational methods.

Artem B Mamonov, Rob D Coalson, M. Kurnikova, 2006, Biophysical chemistry.

Water and Deuterium Oxide Permeability through Aquaporin 1: MD Predictions and Experimental Verification

R. Coalson, A. Mamonov, M. Zeidel, 2007, The Journal of general physiology.

Rapid sampling of all‐atom peptides using a library‐based polymer‐growth approach

Artem B. Mamonov, Daniel M. Zuckerman, Xin Zhang, 2009, J. Comput. Chem..

Absolute free energies estimated by combining precalculated molecular fragment libraries

Artem B. Mamonov, Daniel M. Zuckerman, Xin Zhang, 2009, J. Comput. Chem..