Chemical and Biological Systems Optimization Lab.

The C. Maranas Chemical & Biological Systems Optimization Laboratory at PSU is currently working on the development of algorithmic and, in particular, optimization techniques to support the analysis and redesign of biological systems at different scales.

At the protein level, we are interested in computationally inferring what amino acid compositions are likely to yield i) proteins or antibodies with targedted binding affinities and ii) enzymes with improved stability, specificity and activity for specific biotransformations. To this end, we make use of ab initio energy calculations at the ground and transition states, MD simulations, as well as scoring functions based on bioinformatics inspired analyses.

At the metabolic network level, we are pursuing methods for automating the generation, curation, and correction of genome-scale models of metabolism. We are also interested in generating isotope mapping models to support metabolic flux elucidation using MFA. In addition, we are working towards developing computational tools to help decide how to engineer (i.e., through gene knock-in/out/up/down(s)) biological production systems.

A unifying feature of these seemingly disjoint research targets is the need to systematically search through many network configurations, amino acid compositions, protein structures, etc. and identify the "best" one. To this end, the development of efficient theoretical, algorithmic, and computational techniques for arriving at relevant as well as theoretically sound results while maximizing computational efficiency is pursued.

Computational Protein Design

Designing Novel Antibody Binding Pockets

Development of a Computational QM/MM Protocol for Enzyme Redesign

Altering Enzyme Cofactor Specificity

A Computational Procedure for Transferring a Binding Site Onto an Existing Protein Scaffold

An Iterative Computational Protein Library Redesign and Optimization Procedure

Protein Library Design Using Scoring Functions or Clash Maps

Modeling and Optimization of Directed Evolution Protocols

Reconstruction, Analysis, & Redesign of Metabolic Pathways

Genome-scale Gene/Reaction Essentiality and Synthetic Lethality Analysis

Elucidation of Metabolic Fluxes using Labeled Isotopes

Reconstruction of Genome-Scale Metabolic Models

Curation of Genome-Scale Metabolic Models

Computational Procedures for Strain Optimization Using Stoichiometric Models of Metabolism

Analysis of Network Properties of Metabolic Models

Analysis and Redesign for Kinetic Models of Metabolism

Signaling Networks and Tumor Modeling

Development of Multiscale Models of Tumor Progression

Analysis and Redesign of Signaling Networks

Synthetic Circuits and Regulatory Networks

Design of Synthetic Circuits

Hierarchical Methods for Regulatory Network Inference

Optimal Decision Making in Product & Process Planning

Design and Scheduling Real Options based Planning

Supply Chain Planning and CPI Design and Scheduling

Design of Molecular Products with Optimal Properties

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