| 1 | minChemBio: Expanding Chemical Synthesis with Chemo-Enzymatic Pathways Using Minimal Transitions | 3.0 | 4 | Citations (PDF) |
| 2 | CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters | 11.0 | 99 | Citations (PDF) |
| 3 | Combining Chemical Catalysis with Enzymatic Steps for the Synthesis of the Artemisinin Precursor Dihydroartemisinic Acid | 3.0 | 1 | Citations (PDF) |
| 4 | Data-driven and physics informed modeling of Chinese Hamster Ovary cell bioreactors | 3.4 | 19 | Citations (PDF) |
| 5 | KETCHUP: Parameterizing of large-scale kinetic models using multiple datasets with different reference states | 5.4 | 14 | Citations (PDF) |
| 6 | Genome streamlining to improve performance of a fast-growing cyanobacterium
Synechococcus elongatus
UTEX 2973 | 3.1 | 12 | Citations (PDF) |
| 7 | Mitochondrial ATP generation is more proteome efficient than glycolysis | 9.5 | 114 | Citations (PDF) |
| 8 | A multi-tissue genome-scale model of Populus trichocarpa elucidates overexpression targets for improving drought tolerance | 1.8 | 5 | Citations (PDF) |
| 9 | Current State, Challenges, and Opportunities in Genome-Scale Resource Allocation Models: A Mathematical Perspective | 2.6 | 23 | Citations (PDF) |
| 10 | De novo design and Rosetta‐based assessment of high‐affinity antibody variable regions (Fv) against the
SARS‐CoV
‐2 spike receptor binding domain (
RBD
) | 1.9 | 15 | Citations (PDF) |
| 11 | Comparative study of two Saccharomyces cerevisiae strains with kinetic models at genome-scale | 5.4 | 26 | Citations (PDF) |
| 12 | Evaluating proteome allocation of Saccharomyces cerevisiae phenotypes with resource balance analysis | 5.4 | 19 | Citations (PDF) |
| 13 | A detailed genome-scale metabolic model of Clostridium thermocellum investigates sources of pyrophosphate for driving glycolysis | 5.4 | 18 | Citations (PDF) |
| 14 | Rank-ordering of known enzymes as starting points for re-engineering novel substrate activity using a convolutional neural network | 5.4 | 30 | Citations (PDF) |
| 15 | A single amino acid change led to structural and functional differentiation of PvHd1 to control flowering in switchgrass | 3.8 | 10 | Citations (PDF) |
| 16 | Deuterated water as a substrate-agnostic isotope tracer for investigating reversibility and thermodynamics of reactions in central carbon metabolism | 5.4 | 11 | Citations (PDF) |
| 17 | Dissecting the metabolic reprogramming of maize root under nitrogen-deficient stress conditions | 3.8 | 35 | Citations (PDF) |
| 18 | Quantifying the propagation of parametric uncertainty on flux balance analysis | 5.4 | 19 | Citations (PDF) |
| 19 | Assessing the impact of substrate-level enzyme regulations limiting ethanol titer in Clostridium thermocellum using a core kinetic model | 5.4 | 19 | Citations (PDF) |
| 20 | EnZymClass: Substrate specificity prediction tool of plant acyl-ACP thioesterases based on ensemble learning | 3.9 | 20 | Citations (PDF) |
| 21 | Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer | 5.3 | 246 | Citations (PDF) |
| 22 | Toward low-cost biological and hybrid biological/catalytic conversion of cellulosic biomass to fuels | 22.6 | 255 | Citations (PDF) |
| 23 | Metabolic engineering of Rhodotorula toruloides IFO0880 improves C16 and C18 fatty alcohol production from synthetic media | 3.6 | 46 | Citations (PDF) |
| 24 | Functional Analysis of H
+
-Pumping Membrane-Bound Pyrophosphatase, ADP-Glucose Synthase, and Pyruvate Phosphate Dikinase as Pyrophosphate Sources in Clostridium thermocellum | 2.4 | 15 | Citations (PDF) |
| 25 | Developmental changes in lignin composition are driven by both monolignol supply and laccase specificity | 8.2 | 50 | Citations (PDF) |
| 26 | Examining organic acid production potential and growth‐coupled strategies in
Issatchenkia orientalis
using constraint‐based modeling | 1.8 | 15 | Citations (PDF) |
| 27 | Development and Validation of Indirect Enzyme-Linked Immunosorbent Assays for Detecting Antibodies to SARS-CoV-2 in Cattle, Swine, and Chicken | 2.2 | 4 | Citations (PDF) |
| 28 | Engineering biology approaches for food and nutrient production by cyanobacteria | 4.8 | 34 | Citations (PDF) |
| 29 | Recent advances in constraint and machine learning-based metabolic modeling by leveraging stoichiometric balances, thermodynamic feasibility and kinetic law formalisms | 5.4 | 39 | Citations (PDF) |
| 30 | Modeling Growth Kinetics, Interspecies Cell Fusion, and Metabolism of a Clostridium acetobutylicum/Clostridium ljungdahlii Syntrophic Coculture | 2.8 | 16 | Citations (PDF) |
| 31 | Building kinetic models for metabolic engineering | 4.8 | 68 | Citations (PDF) |
| 32 | A Genome-Scale Metabolic Model of Anabaena 33047 to Guide Genetic Modifications to Overproduce Nylon Monomers | 2.6 | 11 | Citations (PDF) |
| 33 | Computationally Prospecting Potential Pathways from Lignin Monomers and Dimers toward Aromatic Compounds | 3.0 | 9 | Citations (PDF) |
| 34 | Elucidation of trophic interactions in an unusual single-cell nitrogen-fixing symbiosis using metabolic modeling | 1.9 | 19 | Citations (PDF) |
| 35 | Recombination and lineage-specific mutations linked to the emergence of SARS-CoV-2 | 5.9 | 37 | Citations (PDF) |
| 36 | dGPredictor: Automated fragmentation method for metabolic reaction free energy prediction and de novo pathway design | 1.9 | 28 | Citations (PDF) |
| 37 | Computational prediction of the effect of amino acid changes on the binding affinity between SARS-CoV-2 spike RBD and human ACE2 | 5.3 | 80 | Citations (PDF) |
| 38 | Metabolic model guided strain design of cyanobacteria | 4.8 | 46 | Citations (PDF) |
| 39 | From directed evolution to computational enzyme engineering—A review | 3.4 | 112 | Citations (PDF) |
| 40 | Computational biophysical characterization of the SARS-CoV-2 spike protein binding with the ACE2 receptor and implications for infectivity | 2.7 | 52 | Citations (PDF) |
| 41 | IPRO+/−: Computational Protein Design Tool Allowing for Insertions and Deletions | 2.5 | 16 | Citations (PDF) |
| 42 | Development of a Genome-Scale Metabolic Model of Clostridium thermocellum and Its Applications for Integration of Multi-Omics Datasets and Computational Strain Design | 3.1 | 27 | Citations (PDF) |
| 43 | Genome-scale metabolic reconstruction of the non-model yeast Issatchenkia orientalis SD108 and its application to organic acids production | 2.5 | 37 | Citations (PDF) |
| 44 | In VivoThermodynamic Analysis of Glycolysis in Clostridium thermocellum and Thermoanaerobacterium saccharolyticum Using13C and2H Tracers | 2.8 | 51 | Citations (PDF) |
| 45 | K-FIT: An accelerated kinetic parameterization algorithm using steady-state fluxomic data | 5.4 | 55 | Citations (PDF) |
| 46 | SNPeffect: identifying functional roles of SNPs using metabolic networks | 4.0 | 30 | Citations (PDF) |
| 47 | Metabolic flux analysis reaching genome wide coverage: lessons learned and future perspectives | 6.2 | 12 | Citations (PDF) |
| 48 | The importance and future of biochemical engineering | 2.7 | 17 | Citations (PDF) |
| 49 | Bacterial colonization reprograms the neonatal gut metabolome | 10.1 | 113 | Citations (PDF) |
| 50 | Challenges of cultivated meat production and applications of genome‐scale metabolic modeling | 3.4 | 8 | Citations (PDF) |
| 51 | Engineering sensitivity and specificity of AraC-based biosensors responsive to triacetic acid lactone and orsellinic acid | 2.2 | 13 | Citations (PDF) |
| 52 | Directed Evolution Reveals the Functional Sequence Space of an Adenylation Domain Specificity Code | 2.5 | 24 | Citations (PDF) |
| 53 | Predicting the Longitudinally and Radially Varying Gut Microbiota Composition using Multi-Scale Microbial Metabolic Modeling | 2.0 | 21 | Citations (PDF) |
| 54 | 7 Log Virus Removal in a Simple Functionalized Sand Filter | 8.6 | 23 | Citations (PDF) |
| 55 | Engineering microbial chemical factories using metabolic models | 5.7 | 6 | Citations (PDF) |
| 56 | A comprehensive genome-scale model for Rhodosporidium toruloides IFO0880 accounting for functional genomics and phenotypic data | 2.5 | 75 | Citations (PDF) |
| 57 | A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism | 1.9 | 43 | Citations (PDF) |
| 58 | Thermodynamic analysis of the pathway for ethanol production from cellobiose in Clostridium thermocellum | 5.4 | 63 | Citations (PDF) |
| 59 | Pareto Optimality Explanation of the Glycolytic Alternatives in Nature | 2.7 | 26 | Citations (PDF) |
| 60 | Reply to Zhou and Li: Plasticity of the genomic haplotype of
Synechococcus elongatus
leads to rapid strain adaptation under laboratory conditions | 5.3 | 3 | Citations (PDF) |
| 61 | Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0 | 10.7 | 1,281 | Citations (PDF) |
| 62 | From Escherichia coli mutant 13C labeling data to a core kinetic model: A kinetic model parameterization pipeline | 1.9 | 32 | Citations (PDF) |
| 63 | Genome-Scale Fluxome of Synechococcus elongatus UTEX 2973 Using Transient 13C-Labeling Data | 4.0 | 62 | Citations (PDF) |
| 64 | Artificial water channels enable fast and selective water permeation through water-wire networks | 23.8 | 162 | Citations (PDF) |
| 65 | Elucidation of photoautotrophic carbon flux topology in Synechocystis PCC 6803 using genome-scale carbon mapping models | 5.4 | 63 | Citations (PDF) |
| 66 | Exploring the combinatorial space of complete pathways to chemicals | 2.7 | 17 | Citations (PDF) |
| 67 | MinGenome: An In Silico Top-Down Approach for the Synthesis of Minimized Genomes | 3.0 | 53 | Citations (PDF) |
| 68 | Pathway design using de novo steps through uncharted biochemical spaces | 11.0 | 114 | Citations (PDF) |
| 69 | Comparative genomics reveals the molecular determinants of rapid growth of the cyanobacteriumSynechococcus elongatusUTEX 2973 | 5.3 | 127 | Citations (PDF) |
| 70 | OptMAVEn-2.0: De novo Design of Variable Antibody Regions against Targeted Antigen Epitopes | 1.8 | 58 | Citations (PDF) |
| 71 | A Prospective Study on the Fermentation Landscape of Gaseous Substrates to Biorenewables Using Methanosarcina acetivorans Metabolic Model | 2.9 | 7 | Citations (PDF) |
| 72 | PoreDesigner for tuning solute selectivity in a robust and highly permeable outer membrane pore | 11.0 | 67 | Citations (PDF) |
| 73 | Accelerating flux balance calculations in genome-scale metabolic models by localizing the application of loopless constraints | 3.2 | 26 | Citations (PDF) |
| 74 | Highly Active C8-Acyl-ACP Thioesterase Variant Isolated by a Synthetic Selection Strategy | 3.0 | 84 | Citations (PDF) |
| 75 | Computationally Exploring and Alleviating the Kinetic Bottlenecks of Anaerobic Methane Oxidation | 2.3 | 1 | Citations (PDF) |
| 76 | Engineering of E. coli inherent fatty acid biosynthesis capacity to increase octanoic acid production | 6.4 | 35 | Citations (PDF) |
| 77 | Computational de novo design of antibodies binding to a peptide with high affinity | 2.7 | 33 | Citations (PDF) |
| 78 | Identifying the Metabolic Differences of a Fast-Growth Phenotype in Synechococcus UTEX 2973 | 2.7 | 65 | Citations (PDF) |
| 79 | Exploiting the Genetic Diversity of Maize Using a Combined Metabolomic, Enzyme Activity Profiling, and Metabolic Modeling Approach to Link Leaf Physiology to Kernel Yield | 5.8 | 65 | Citations (PDF) |
| 80 | Computational Redesign of Acyl-ACP Thioesterase with Improved Selectivity toward Medium-Chain-Length Fatty Acids | 10.0 | 87 | Citations (PDF) |
| 81 | Multilevel engineering of the upstream module of aromatic amino acid biosynthesis in Saccharomyces cerevisiae for high production of polymer and drug precursors | 5.4 | 104 | Citations (PDF) |
| 82 | Clostridium butyricum maximizes growth while minimizing enzyme usage and ATP production: metabolic flux distribution of a strain cultured in glycerol | 2.8 | 25 | Citations (PDF) |
| 83 | De novo design of antibody complementarity determining regions binding a FLAG tetra-peptide | 2.7 | 35 | Citations (PDF) |
| 84 | Standardizing biomass reactions and ensuring complete mass balance in genome-scale metabolic models | 3.2 | 109 | Citations (PDF) |
| 85 | A review of computational tools for design and reconstruction of metabolic pathways | 3.3 | 130 | Citations (PDF) |
| 86 | Development of a core Clostridium thermocellum kinetic metabolic model consistent with multiple genetic perturbations | 6.4 | 37 | Citations (PDF) |
| 87 | Facile Affinity Maturation of Antibody Variable Domains Using Natural Diversity Mutagenesis | 3.3 | 63 | Citations (PDF) |
| 88 | Deciphering cyanobacterial phenotypes for fast photoautotrophic growth via isotopically nonstationary metabolic flux analysis | 6.4 | 102 | Citations (PDF) |
| 89 | SteadyCom: Predicting microbial abundances while ensuring community stability | 1.9 | 227 | Citations (PDF) |
| 90 | A genome-scale Escherichia coli kinetic metabolic model k-ecoli457 satisfying flux data for multiple mutant strains | 11.0 | 240 | Citations (PDF) |
| 91 | Diurnal Regulation of Cellular Processes in the Cyanobacterium
Synechocystis
sp. Strain PCC 6803: Insights from Transcriptomic, Fluxomic, and Physiological Analyses | 3.1 | 99 | Citations (PDF) |
| 92 | Farnesoid X Receptor Signaling Shapes the Gut Microbiota and Controls Hepatic Lipid Metabolism | 2.8 | 118 | Citations (PDF) |
| 93 | Metabolic modeling of clostridia: current developments and applications | 1.1 | 50 | Citations (PDF) |
| 94 | Reversing methanogenesis to capture methane for liquid biofuel precursors | 3.6 | 147 | Citations (PDF) |
| 95 | Assessing methanotrophy and carbon fixation for biofuel production by Methanosarcina acetivorans | 3.6 | 50 | Citations (PDF) |
| 96 | Identifying Regulatory Changes to Facilitate Nitrogen Fixation in the Nondiazotroph Synechocystis sp. PCC 6803 | 3.0 | 21 | Citations (PDF) |
| 97 | Do genome‐scale models need exact solvers or clearer standards? | 3.7 | 73 | Citations (PDF) |
| 98 | Cyanobacterial Alkanes Modulate Photosynthetic Cyclic Electron Flow to Assist Growth under Cold Stress | 2.7 | 77 | Citations (PDF) |
| 99 | Designing overall stoichiometric conversions and intervening metabolic reactions | 2.7 | 57 | Citations (PDF) |
| 100 | Succinate Overproduction: A Case Study of Computational Strain Design Using a Comprehensive Escherichia coli Kinetic Model | 3.1 | 48 | Citations (PDF) |
| 101 | Achieving Metabolic Flux Analysis for S. cerevisiae at a Genome-Scale: Challenges, Requirements, and Considerations | 2.6 | 16 | Citations (PDF) |
| 102 | Using Gene Essentiality and Synthetic Lethality Information to Correct Yeast and CHO Cell Genome-Scale Models | 2.6 | 41 | Citations (PDF) |
| 103 | Advances in de novo strain design using integrated systems and synthetic biology tools | 4.6 | 33 | Citations (PDF) |
| 104 | Rational design of a synthetic Entner–Doudoroff pathway for improved and controllable NADPH regeneration | 5.4 | 178 | Citations (PDF) |
| 105 | 13C metabolic flux analysis at a genome-scale | 5.4 | 99 | Citations (PDF) |
| 106 | Improving prediction fidelity of cellular metabolism with kinetic descriptions | 4.8 | 39 | Citations (PDF) |
| 107 | Methane oxidation by anaerobic archaea for conversion to liquid fuels | 2.2 | 34 | Citations (PDF) |
| 108 | Bilevel optimization techniques in computational strain design | 3.4 | 40 | Citations (PDF) |
| 109 | OptMAVEn – A New Framework for the de novo Design of Antibody Variable Region Models Targeting Specific Antigen Epitopes | 1.5 | 75 | Citations (PDF) |
| 110 | Capturing the response of Clostridium acetobutylicumto chemical stressors using a regulated genome-scale metabolic model | 6.4 | 59 | Citations (PDF) |
| 111 | k-OptForce: Integrating Kinetics with Flux Balance Analysis for Strain Design | 1.9 | 129 | Citations (PDF) |
| 112 | Assessing the Metabolic Impact of Nitrogen Availability Using a Compartmentalized Maize Leaf Genome-Scale Model | 4.0 | 93 | Citations (PDF) |
| 113 | CLCA: Maximum Common Molecular Substructure Queries within the MetRxn Database | 3.3 | 41 | Citations (PDF) |
| 114 | Systems metabolic engineering design: Fatty acid production as an emerging case study | 2.7 | 78 | Citations (PDF) |
| 115 | Recent advances in the reconstruction of metabolic models and integration of omics data | 4.8 | 120 | Citations (PDF) |
| 116 | Coarse-grained optimization-driven design and piecewise linear modeling of synthetic genetic circuits | 5.0 | 10 | Citations (PDF) |
| 117 | d-OptCom: Dynamic Multi-level and Multi-objective Metabolic Modeling of Microbial Communities | 3.0 | 209 | Citations (PDF) |
| 118 | Coupled Enzyme Reactions Performed in Heterogeneous Reaction Media: Experiments and Modeling for Glucose Oxidase and Horseradish Peroxidase in a PEG/Citrate Aqueous Two-Phase System | 2.1 | 38 | Citations (PDF) |
| 119 | Nitrogen-use efficiency in maize (Zea mays L.): from 'omics' studies to metabolic modelling | 3.8 | 94 | Citations (PDF) |
| 120 | A kinetic model of Escherichia coli core metabolism satisfying multiple sets of mutant flux data | 5.4 | 179 | Citations (PDF) |
| 121 | MAPs: a database of modular antibody parts for predicting tertiary structures and designing affinity matured antibodies | 2.5 | 24 | Citations (PDF) |
| 122 | Rapid construction of metabolic models for a family of Cyanobacteria using a multiple source annotation workflow | 2.8 | 35 | Citations (PDF) |
| 123 | Optimization‐driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks | 2.4 | 22 | Citations (PDF) |
| 124 | OptZyme: Computational Enzyme Redesign Using Transition State Analogues | 1.5 | 25 | Citations (PDF) |
| 125 | Synthetic biology of cyanobacteria: unique challenges and opportunities | 2.9 | 281 | Citations (PDF) |
| 126 | OptCom: A Multi-Level Optimization Framework for the Metabolic Modeling and Analysis of Microbial Communities | 1.9 | 396 | Citations (PDF) |
| 127 | Mathematical optimization applications in metabolic networks | 5.4 | 129 | Citations (PDF) |
| 128 | Impact of Stoichiometry Representation on Simulation of Genotype-Phenotype Relationships in Metabolic Networks | 1.9 | 33 | Citations (PDF) |
| 129 | An integrated computational and experimental study for overproducing fatty acids in Escherichia coli | 5.4 | 110 | Citations (PDF) |
| 130 | MetRxn: a knowledgebase of metabolites and reactions spanning metabolic models and databases | 2.5 | 127 | Citations (PDF) |
| 131 | Reconstruction and Comparison of the Metabolic Potential of Cyanobacteria Cyanothece sp. ATCC 51142 and Synechocystis sp. PCC 6803 | 1.5 | 92 | Citations (PDF) |
| 132 | Computational tools for metabolic engineering | 5.4 | 97 | Citations (PDF) |
| 133 | Zea mays iRS1563: A Comprehensive Genome-Scale Metabolic Reconstruction of Maize Metabolism | 1.5 | 209 | Citations (PDF) |
| 134 | Recent advances in computational protein design | 4.8 | 80 | Citations (PDF) |
| 135 | Genome-scale metabolic network modeling results in minimal interventions that cooperatively force carbon flux towards malonyl-CoA | 5.4 | 339 | Citations (PDF) |
| 136 | Model Simulations Reveal VCAM-1 Augment PAK Activation Rates to Amplify p38 MAPK and VE-Cadherin Phosphorylation | 1.2 | 4 | Citations (PDF) |
| 137 | Metabolic reconstruction of the archaeon methanogen Methanosarcina Acetivorans | 2.8 | 49 | Citations (PDF) |
| 138 | Modeling the effect of chemotaxis on glioblastoma tumor progression | 3.4 | 12 | Citations (PDF) |
| 139 | Construction of an E. Coli genome‐scale atom mapping model for MFA calculations | 2.7 | 43 | Citations (PDF) |
| 140 | Microbial 1‐butanol production: Identification of non‐native production routes and in silico engineering interventions | 2.4 | 42 | Citations (PDF) |
| 141 | Improved computational performance of MFA using elementary metabolite units and flux coupling | 5.4 | 28 | Citations (PDF) |
| 142 | OptCDR: a general computational method for the design of antibody complementarity determining regions for targeted epitope binding | 2.2 | 97 | Citations (PDF) |
| 143 | OptForce: An Optimization Procedure for Identifying All Genetic Manipulations Leading to Targeted Overproductions | 1.9 | 400 | Citations (PDF) |
| 144 | OptGraft: A computational procedure for transferring a binding site onto an existing protein scaffold | 3.5 | 38 | Citations (PDF) |
| 145 | A Genome-Scale Metabolic Reconstruction of Mycoplasma genitalium, iPS189 | 1.9 | 122 | Citations (PDF) |
| 146 | GrowMatch: An Automated Method for Reconciling In Silico/In Vivo Growth Predictions | 1.9 | 230 | Citations (PDF) |
| 147 | Genome Scale Reconstruction of a Salmonella Metabolic Model | 1.3 | 89 | Citations (PDF) |
| 148 | Analysis of NADPH supply during xylitol production by engineered Escherichia coli | 2.7 | 80 | Citations (PDF) |
| 149 | Computational design of Candida boidinii xylose reductase for altered cofactor specificity | 3.5 | 92 | Citations (PDF) |
| 150 | Designing the substrate specificity of d-hydantoinase using a rational approach | 2.7 | 28 | Citations (PDF) |
| 151 | Genome‐scale gene/reaction essentiality and synthetic lethality analysis | 3.7 | 152 | Citations (PDF) |
| 152 | Identification of optimal measurement sets for complete flux elucidation in metabolic flux analysis experiments | 2.7 | 35 | Citations (PDF) |
| 153 | Implication of dynamics in signal transduction and targeted disruption analyses of signaling networks | 3.4 | 1 | Citations (PDF) |
| 154 | Predicting biological system objectives de novo from internal state measurements | 2.5 | 97 | Citations (PDF) |
| 155 | Optimal protein library design using recombination or point mutations based on sequence-based scoring functions | 2.2 | 40 | Citations (PDF) |
| 156 | Extending Iterative Protein Redesign and Optimization (IPRO) in Protein Library Design for Ligand Specificity | 1.5 | 27 | Citations (PDF) |
| 157 | Metabolic flux elucidation for large-scale models using 13C labeled isotopes | 5.4 | 109 | Citations (PDF) |
| 158 | Large-scale inference and graph-theoretical analysis of gene-regulatory networks in B. Subtilis | 2.1 | 21 | Citations (PDF) |
| 159 | A Computational Framework for the Topological Analysis and Targeted Disruption of Signal Transduction Networks | 1.5 | 50 | Citations (PDF) |
| 160 | IPRO: An Iterative Computational Protein Library Redesign and Optimization Procedure | 1.5 | 58 | Citations (PDF) |
| 161 | An optimization framework for identifying reaction activation/inhibition or elimination candidates for overproduction in microbial systems | 5.4 | 312 | Citations (PDF) |
| 162 | Elucidation of directionality for co-expressed genes: predicting intra-operon termination sites | 3.2 | 26 | Citations (PDF) |
| 163 | A Computational Procedure for Optimal Engineering Interventions Using Kinetic Models of Metabolism | 1.8 | 18 | Citations (PDF) |
| 164 | OPTIMAL SELECTION OF ENZYME LEVELS USING LARGE-SCALE KINETIC MODELS | 0.3 | 4 | Citations (PDF) |
| 165 | Large-scale inference of the transcriptional regulation of Bacillus subtilis | 3.4 | 17 | Citations (PDF) |
| 166 | In silico design and adaptive evolution ofEscherichia colifor production of lactic acid | 2.7 | 363 | Citations (PDF) |
| 167 | Valuation and design of pharmaceutical R&D licensing deals | 3.4 | 23 | Citations (PDF) |
| 168 | DEMSIM: a discrete event based mechanistic simulation platform for gene expression and regulation dynamics | 1.2 | 6 | Citations (PDF) |
| 169 | Design of combinatorial protein libraries of optimal size | 1.9 | 28 | Citations (PDF) |
| 170 | Elucidation and Structural Analysis of Conserved Pools for Genome-Scale Metabolic Reconstructions | 1.5 | 46 | Citations (PDF) |
| 171 | FamClash: A method for ranking the activity of engineered enzymes | 5.3 | 70 | Citations (PDF) |
| 172 | OptStrain: A computational framework for redesign of microbial production systems | 3.2 | 440 | Citations (PDF) |
| 173 | Flux Coupling Analysis of Genome-Scale Metabolic Network Reconstructions | 3.2 | 351 | Citations (PDF) |
| 174 | Computational challenges in combinatorial library design for protein engineering | 3.4 | 31 | Citations (PDF) |
| 175 | Real-Options-Based Planning Strategies under Uncertainty | 3.0 | 22 | Citations (PDF) |
| 176 | Molecular Design Using Quantum Chemical Calculations for Property Estimation | 3.0 | 21 | Citations (PDF) |
| 177 | Optimization-based framework for inferring and testing hypothesized metabolic objective functions | 2.7 | 207 | Citations (PDF) |
| 178 | Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization | 2.7 | 1,237 | Citations (PDF) |
| 179 | Exploring the overproduction of amino acids using the bilevel optimization framework OptKnock | 2.7 | 126 | Citations (PDF) |
| 180 | Managing demand uncertainty in supply chain planning | 3.4 | 456 | Citations (PDF) |
| 181 | Review of the BRENDA Database | 5.4 | 41 | Citations (PDF) |
| 182 | Market-Based Pollution Abatement Strategies: Risk Management Using Emission Option Contracts | 3.0 | 26 | Citations (PDF) |
| 183 | Identifying residue-residue clashes in protein hybrids by using a second-order mean-field approach | 5.3 | 50 | Citations (PDF) |
| 184 | Using multiple sequence correlation analysis to characterize functionally important protein regions | 2.2 | 32 | Citations (PDF) |
| 185 | Using a residue clash map to functionally characterize protein recombination hybrids | 2.2 | 22 | Citations (PDF) |
| 186 | Synthesis of Mixed Refrigerant Cascade Cycles | 1.3 | 67 | Citations (PDF) |
| 187 | eCodonOpt: a systematic computational framework for optimizing codon usage in directed evolution experiments | 11.2 | 17 | Citations (PDF) |
| 188 | Real Options Based Analysis of Optimal Pharmaceutical Research and Development Portfolios | 3.0 | 95 | Citations (PDF) |
| 189 | Predicting Out-of-Sequence Reassembly in DNA Shuffling | 1.2 | 14 | Citations (PDF) |
| 190 | Predicting Out-of-Sequence Reassembly in DNA Shuffling | 1.2 | 15 | Citations (PDF) |
| 191 | Review of the Biocatalysis/Biodegradation Database (UM-BBD) | 5.4 | 4 | Citations (PDF) |
| 192 | Review of EcoCyc and MetaCyc Databases | 5.4 | 6 | Citations (PDF) |
| 193 | Review of the Enzymes and Metabolic Pathways (EMP) Database | 5.4 | 12 | Citations (PDF) |
| 194 | Review of the TEIRESIAS-Based Tools of the IBM Bioinformatics and Pattern Discovery Group | 5.4 | 4 | Citations (PDF) |
| 195 | Probing the performance limits of theEscherichia coli metabolic network subject to gene additions or deletions | 2.7 | 104 | Citations (PDF) |
| 196 | Minimal Reaction Sets for Escherichia coli Metabolism under Different Growth Requirements and Uptake Environments | 1.8 | 145 | Citations (PDF) |
| 197 | Predicting crossover generation in DNA shuffling | 5.3 | 70 | Citations (PDF) |
| 198 | Creating multiple-crossover DNA libraries independent of sequence identity | 5.3 | 149 | Citations (PDF) |
| 199 | Modeling DNA Mutation and Recombination for Directed Evolution Experiments | 1.2 | 64 | Citations (PDF) |
| 200 | Modeling and optimization of DNA recombination | 3.4 | 10 | Citations (PDF) |
| 201 | Mid-term supply chain planning under demand uncertainty: customer demand satisfaction and inventory management | 3.4 | 151 | Citations (PDF) |
| 202 | A Two-Stage Modeling and Solution Framework for Multisite Midterm Planning under Demand Uncertainty | 3.0 | 139 | Citations (PDF) |
| 203 | Design of surfactant solutions with optimal macroscopic properties | 3.4 | 7 | Citations (PDF) |
| 204 | Optimal synthesis of refrigeration cycles and selection of refrigerants | 3.4 | 72 | Citations (PDF) |
| 205 | A Hierarchical Lagrangean Relaxation Procedure for Solving Midterm Planning Problems | 3.0 | 73 | Citations (PDF) |
| 206 | Optimization in Polymer Design Using Connectivity Indices | 3.0 | 100 | Citations (PDF) |
| 207 | Design of single-product campaign batch plants under demand uncertainty | 3.4 | 54 | Citations (PDF) |
| 208 | Optimization in product design with properties correlated with topological indices | 3.4 | 58 | Citations (PDF) |
| 209 | Design of multiproduct batch plants under demand uncertainty with staged capacity expansions | 3.4 | 7 | Citations (PDF) |
| 210 | Multiperiod Planning and Scheduling of Multiproduct Batch Plants under Demand Uncertainty | 3.0 | 159 | Citations (PDF) |
| 211 | Locating All Homogeneous Azeotropes in Multicomponent Mixtures | 3.0 | 64 | Citations (PDF) |
| 212 | Title is missing! | 0.9 | 64 | Citations (PDF) |
| 213 | Global optimization in generalized geometric programming | 3.4 | 195 | Citations (PDF) |
| 214 | Optimization accounting for property prediction uncertainty in polymer design | 3.4 | 7 | Citations (PDF) |
| 215 | Optimal molecular design under property prediction uncertainty | 3.4 | 89 | Citations (PDF) |
| 216 | Quantitative assessment of uncertainty in the optimization of metabolic pathways 1997, 56, 145-161 | | 27 | Citations (PDF) |
| 217 | Optimal Computer-Aided Molecular Design: A Polymer Design Case Study | 3.0 | 116 | Citations (PDF) |
| 218 | New results in the packing of equal circles in a square | 0.7 | 74 | Citations (PDF) |
| 219 | Finding all solutions of nonlinearly constrained systems of equations | 0.9 | 198 | Citations (PDF) |
| 220 | ?BB: A global optimization method for general constrained nonconvex problems | 0.9 | 407 | Citations (PDF) |
| 221 | A deterministic global optimization approach for molecular structure determination | 2.2 | 98 | Citations (PDF) |
| 222 | Global minimum potential energy conformations of small molecules | 0.9 | 175 | Citations (PDF) |
| 223 | Global optimization for molecular conformation problems | 1.5 | 35 | Citations (PDF) |
| 224 | A global optimization approach for Lennard‐Jones microclusters | 2.2 | 130 | Citations (PDF) |
| 225 | Reconstruction of a resource balance analysis model of Clostridium thermocellum examines the metabolic cost of glycolytic and cellulosome enzymes | 5.4 | 1 | Citations (PDF) |
| 226 | Parameterization of cell-free systems with time-series data using KETCHUP | 1.9 | 0 | Citations (PDF) |
| 227 | Metabolic flux and resource balance in the oleaginous yeast Rhodotorula toruloides | 5.4 | 1 | Citations (PDF) |
| 228 | High yield production of 3-hydroxypropionic acid using Issatchenkia orientalis | 11.0 | 12 | Citations (PDF) |
| 229 | Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli | 1.9 | 0 | Citations (PDF) |
