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Computational methods in protein structure prediction

Biotechnology and bioengineering, 2007-06, Vol.97 (2), p.207-213

Floudas, C.A.

2007

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Global minimization using an Augmented Lagrangian method with variable lower-level constraints

Mathematical programming, 2010-09, Vol.125 (1), p.139-162

2010

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Piecewise-Linear Approximations of Multidimensional Functions

Journal of optimization theory and applications, 2010-04, Vol.145 (1), p.120-147

2010

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Structure Prediction of Loops with Fixed and Flexible Stems

The journal of physical chemistry. B, 2012-06, Vol.116 (23), p.6670-6682

2012

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High‐throughput proteomic analysis of candidate biomarker changes in gingival crevicular fluid after treatment of chronic periodontitis

Journal of periodontal research, 2018-10, Vol.53 (5), p.853-860

2018

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Effective Continuous-Time Formulation for Short-Term Scheduling. 1. Multipurpose Batch Processes

Industrial & engineering chemistry research, 1998-11, Vol.37 (11), p.4341-4359

1998

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Advances in protein structure prediction and de novo protein design: A review

Chemical engineering science, 2006-02, Vol.61 (3), p.966-988

2006

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ASTRO-FOLD 2.0: An enhanced framework for protein structure prediction

AIChE journal, 2012-05, Vol.58 (5), p.1619-1637

2012

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A review of recent advances in global optimization

Journal of global optimization, 2009-09, Vol.45 (1), p.3-38

2009

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Effective Hybrid Teaching-learning-based Optimization Algorithm for Balancing Two-sided Assembly Lines with Multiple Constraints

Chinese journal of mechanical engineering, 2015-09, Vol.28 (5), p.1067-1079

English ed., 2015

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Global optimization of mixed-integer nonlinear problems

AIChE journal, 2000-09, Vol.46 (9), p.1769-1797

2000

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ASTRO-FOLD: A Combinatorial and Global Optimization Framework for Ab Initio Prediction of Three-Dimensional Structures of Proteins from the Amino Acid Sequence

Biophysical journal, 2003-10, Vol.85 (4), p.2119-2146

2003

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Discovery of Entry Inhibitors for HIV-1 via a New De Novo Protein Design Framework

Biophysical journal, 2010-11, Vol.99 (10), p.3445-3453

2010

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A global optimization method, αBB, for general twice-differentiable constrained NLPs — I. Theoretical advances

Computers & chemical engineering, 1998-01, Vol.22 (9), p.1137-1158

1998

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Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review

Computers & chemical engineering, 2004-10, Vol.28 (11), p.2109-2129

2004

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Effective Continuous-Time Formulation for Short-Term Scheduling. 2. Continuous and Semicontinuous Processes

Industrial & engineering chemistry research, 1998-11, Vol.37 (11), p.4360-4374

1998

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Rules-based heuristic approach for the U-shaped assembly line balancing problem

Applied Mathematical Modelling, 2017-08, Vol.48, p.423-439

2017

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Convexity of Products of Univariate Functions and Convexification Transformations for Geometric Programming

Journal of optimization theory and applications, 2008-09, Vol.138 (3), p.407-427

2008

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New Compstatin Variants through Two De Novo Protein Design Frameworks

Biophysical journal, 2010-05, Vol.98 (10), p.2337-2346

2010

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Protein loop structure prediction with flexible stem geometries

Proteins, structure, function, and bioinformatics, 2005-12, Vol.61 (4), p.748-762

2005

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Effective Continuous-Time Formulation for Short-Term Scheduling. 3. Multiple Intermediate Due Dates

Industrial & engineering chemistry research, 1999-09, Vol.38 (9), p.3446-3461

1999

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Phase stability with cubic equations of state: Global optimization approach

AIChE journal, 2000-07, Vol.46 (7), p.1422-1440

2000

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Hybrid Global Optimization Algorithms for Protein Structure Prediction: Alternating Hybrids

Biophysical journal, 2003-02, Vol.84 (2), p.869-882

2003

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A new pairwise folding potential based on improved decoy generation and side-chain packing

Proteins, structure, function, and bioinformatics, 2004-02, Vol.54 (2), p.303-314

2004

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A new robust optimization approach for scheduling under uncertainty:: I. Bounded uncertainty

Computers & chemical engineering, 2004-06, Vol.28 (6), p.1069-1085

2004

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Computational methods in protein structure prediction

Global minimization using an Augmented Lagrangian method with variable lower-level constraints

Piecewise-Linear Approximations of Multidimensional Functions

Structure Prediction of Loops with Fixed and Flexible Stems

High‐throughput proteomic analysis of candidate biomarker changes in gingival crevicular fluid after treatment of chronic periodontitis

Effective Continuous-Time Formulation for Short-Term Scheduling. 1. Multipurpose Batch Processes

Advances in protein structure prediction and de novo protein design: A review

ASTRO-FOLD 2.0: An enhanced framework for protein structure prediction

A review of recent advances in global optimization

Effective Hybrid Teaching-learning-based Optimization Algorithm for Balancing Two-sided Assembly Lines with Multiple Constraints

Global optimization of mixed-integer nonlinear problems

ASTRO-FOLD: A Combinatorial and Global Optimization Framework for Ab Initio Prediction of Three-Dimensional Structures of Proteins from the Amino Acid Sequence

Discovery of Entry Inhibitors for HIV-1 via a New De Novo Protein Design Framework

A global optimization method, αBB, for general twice-differentiable constrained NLPs — I. Theoretical advances

Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review

Effective Continuous-Time Formulation for Short-Term Scheduling. 2. Continuous and Semicontinuous Processes

Rules-based heuristic approach for the U-shaped assembly line balancing problem

Convexity of Products of Univariate Functions and Convexification Transformations for Geometric Programming

New Compstatin Variants through Two De Novo Protein Design Frameworks

Protein loop structure prediction with flexible stem geometries

Effective Continuous-Time Formulation for Short-Term Scheduling. 3. Multiple Intermediate Due Dates

Phase stability with cubic equations of state: Global optimization approach

Hybrid Global Optimization Algorithms for Protein Structure Prediction: Alternating Hybrids

A new pairwise folding potential based on improved decoy generation and side-chain packing

A new robust optimization approach for scheduling under uncertainty:: I. Bounded uncertainty

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