C. Kieslich

发表

Protein folding and de novo protein design for biotechnological applications.

George A. Khoury, C. Floudas, J. Smadbeck, 2014, Trends in biotechnology.

De novo peptide design with C3a receptor agonist and antagonist activities: theoretical predictions and experimental validation.

H. K. Fung, C. Floudas, P. Monk, 2012, Journal of medicinal chemistry.

Electrostatic Clustering and Free Energy Calculations Provide a Foundation for Protein Design and Optimization

Dimitrios Morikis, Chris A. Kieslich, C. Kieslich, 2010, Annals of Biomedical Engineering.

Forcefield_PTM: Ab Initio Charge and AMBER Forcefield Parameters for Frequently Occurring Post-Translational Modifications.

George A. Khoury, C. Floudas, J. Smadbeck, 2013, Journal of chemical theory and computation.

Forcefield_NCAA: Ab Initio Charge Parameters to Aid in the Discovery and Design of Therapeutic Proteins and Peptides with Unnatural Amino Acids and Their Application to Complement Inhibitors of the Compstatin Family

George A. Khoury, C. Floudas, J. Smadbeck, 2014, ACS synthetic biology.

A multifaceted study of stigma/style cysteine-rich adhesin (SCA)-like Arabidopsis lipid transfer proteins (LTPs) suggests diversified roles for these LTPs in plant growth and reproduction

C. Kieslich, D. Morikis, E. Lord, 2010, Journal of experimental botany.

A predictive model for HIV type 1 coreceptor selectivity.

C. Kieslich, D. Morikis, A. López de Victoria, 2013, AIDS research and human retroviruses.

Novel compstatin family peptides inhibit complement activation by drusen-like deposits in human retinal pigmented epithelial cell cultures.

Christodoulos A Floudas, Phanourios Tamamis, Chris A Kieslich, 2013, Experimental eye research.

Insights into the mechanism of C5aR inhibition by PMX53 via implicit solvent molecular dynamics simulations and docking

G. Nikiforovich, C. Kieslich, D. Morikis, 2014, BMC biophysics.

Complement Inhibition by Staphylococcus aureus: Electrostatics of C3d–EfbC and C3d–Ehp Association

C. Kieslich, D. Morikis, R. D. Gorham, 2012 .

Electrostatic Similarity Determination Using Multiresolution Analysis

D. Gunopulos, C. Kieslich, D. Morikis, 2011, Molecular informatics.

The effect of electrostatics on factor H function and related pathologies.

C. Kieslich, D. Morikis, A. López de Victoria, 2011, Journal of molecular graphics & modelling.

Engineering pre-SUMO4 as efficient substrate of SENP2.

C. Kieslich, D. Morikis, Jiayu Liao, 2014, Protein engineering, design & selection : PEDS.

Solvation effects in calculated electrostatic association free energies for the C3d-CR2 complex and comparison with experimental data.

C. Kieslich, D. Morikis, Alexander S Cheung, 2010, Biopolymers.

Automated computational framework for the analysis of electrostatic similarities of proteins

D. Gunopulos, C. Kieslich, D. Morikis, 2011, Biotechnology progress.

Dynamic Model of Protease State and Inhibitor Trafficking to Predict Protease Activity in Breast Cancer Cells

C. Kieslich, M. Platt, Valencia Watson, 2019, Cellular and Molecular Bioengineering.

Reassessing enzyme kinetics: Considering protease-as-substrate interactions in proteolytic networks

C. Kieslich, M. Platt, M. Ferrall-Fairbanks, 2020, Proceedings of the National Academy of Sciences.

Complement Inhibition by Staphylococcus aureus: Electrostatics of C3d–EfbC and C3d–Ehp Association

C. Kieslich, D. Morikis, R. Gorham, 2011, Cellular and Molecular Bioengineering.

Leukocyte populations, hormone receptors and apoptosis in eutopic and ectopic first trimester human pregnancies.

P. Arck, C. Kieslich, J. Dietl, 1999, Human reproduction.

A Gain-of-Function Mutation of Arabidopsis Lipid Transfer Protein 5 Disturbs Pollen Tube Tip Growth and Fertilization[C][W]

C. Kieslich, D. Morikis, E. Lord, 2009, The Plant Cell Online.

A Predictive Model for HIV-1 Co-receptor Selectivity

C. Kieslich, D. Morikis, G. González-Rivera, 2013 .

Clustering of HIV-1 Subtypes Based on gp120 V3 Loop electrostatic properties

Chris A Kieslich, Dimitrios Morikis, C. Kieslich, 2012, BMC biophysics.

Role of Electrostatic Hotspots in the Selectivity of Complement Control Proteins Toward Human and Bovine Complement Inhibition

C. Kieslich, D. Morikis, P. Arantes, 2021, Frontiers in Molecular Biosciences.

Reprint of: Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection

Efstratios N. Pistikopoulos, Christodoulos A. Floudas, Yannis A. Guzman, 2018, Comput. Chem. Eng..

Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism

Christodoulos A. Floudas, Yannis A. Guzman, Melis Onel, 2016, PLoS ONE.

Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double‐blind predictions during the CASP11 experiment

Christodoulos A Floudas, Yannis A. Guzman, George A. Khoury, 2017, Proteins.

conSSert: Consensus SVM Model for Accurate Prediction of Ordered Secondary Structure

Christodoulos A. Floudas, George A. Khoury, Chris A. Kieslich, 2016, J. Chem. Inf. Model..

Influence of Electrostatics on the Complement Regulatory Functions of Kaposica, the Complement Inhibitor of Kaposi’s Sarcoma-Associated Herpesvirus

C. Kieslich, D. Morikis, A. Sahu, 2010, The Journal of Immunology.

Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection

Efstratios N. Pistikopoulos, Christodoulos A. Floudas, Yannis A. Guzman, 2018, Comput. Chem. Eng..

An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12

Adam Liwo, Yi He, Jilong Li, 2018, Scientific Reports.

Simultaneous Fault Detection and Identification in Continuous Processes via nonlinear Support Vector Machine based Feature Selection.

Yannis A. Guzman, Melis Onel, Chris A Kieslich, 2018, International symposium on process systems engineering.

Optimization of black-box problems using Smolyak grids and polynomial approximations

C. Floudas, C. Kieslich, Fani Boukouvala, 2018, Journal of Global Optimization.

Optimization of black-box problems using Smolyak grids and polynomial approximations

Christodoulos A. Floudas, Fani Boukouvala, Chris A. Kieslich, 2018, J. Glob. Optim..

A Nonlinear Support Vector Machine-Based Feature Selection Approach for Fault Detection and Diagnosis: Application to the Tennessee Eastman Process.

Efstratios N. Pistikopoulos, Melis Onel, Chris A. Kieslich, 2019, AIChE journal. American Institute of Chemical Engineers.

Princeton_TIGRESS: Protein geometry refinement using simulations and support vector machines

Christodoulos A Floudas, George A. Khoury, George A Khoury, 2014, Proteins.

Derivation of ligands for the complement C3a receptor from the C-terminus of C5a

Christodoulos A Floudas, Chris A Kieslich, Dimitrios Morikis, 2014, European journal of pharmacology.

Immunopharmacology and in fl ammation Derivation of ligands for the complement C 3 a receptor from the C-terminus of C 5 a

C. Floudas, P. Monk, J. Smadbeck, 2014 .

Virtual Screening of Chemical Compounds for Discovery of Complement C3 Ligands

Asuka A. Orr, C. Kieslich, D. Morikis, 2018, ACS omega.

The Two Sides of Complement C3d: Evolution of Electrostatics in a Link between Innate and Adaptive Immunity

Dimitrios Morikis, Chris A. Kieslich, C. Kieslich, 2012, PLoS Comput. Biol..

An evaluation of Poisson-Boltzmann electrostatic free energy calculations through comparison with experimental mutagenesis data.

C. Kieslich, D. Morikis, Noriko U. Sausman, 2011, Biopolymers.

Insights into the Structure, Correlated Motions, and Electrostatic Properties of Two HIV-1 gp120 V3 Loops

Phanourios Tamamis, Dimitrios Morikis, Chris A. Kieslich, 2012, PloS one.

De novo protein design of agonists and antagonists of C5a receptors

C. Floudas, P. Monk, J. Smadbeck, 2012 .

Surrogate Modeling of the Relative Entropy for Inverse Design Using Smolyak Sparse Grids.

Michael P. Howard, C. Kieslich, C. L. Petix, 2023, Journal of chemical theory and computation.

Data-driven prediction of antiviral peptides based on periodicities of amino acid properties

C. Kieslich, Paige D. Hall, Matthew Do, 2021, Computer Aided Chemical Engineering.