(311e) Adaptive Neuro-Fuzzy Modeling of Protein Crystal Nucleation Kinetics
AIChE Annual Meeting
2005
2005 Annual Meeting
Separations Division
Crystallization of Pharmaceutical and Biological Molecules: I
Wednesday, November 2, 2005 - 9:29am to 9:49am
Formation of stable, biologically active crystals and nanoparticles of protein and protein/nucleic acid complexes from solution is dominated by the kinetics of nucleation of these clusters. Nucleation of these protein crystals is the necessary first step in crystallization of proteins and protein complexes for isolation and purification of a protein solid phase and for X-ray crystallographic structure determination at atomic resolution. Prediction of crystal nucleation plays a critical role in the control and optimization of crystal formation and particle size distribution.
In the present work Adaptive Neuro-Fuzzy Logic has been used to obtain a predictive model to estimate the nucleation kinetics of protein at various conditions. The nucleation kinetic data at various conditions that consist of range of pH, temperature, precipitant concentration and additive concentration was used as the training data for the fuzzy logic system. A comparison between the nucleation rate model obtained through non-linear regression techniques (Bhamidi et. al., 2002) and that obtained by fuzzy logic was made.
Reference: V. Bhamidi, S. Varanasi, C. A. Schall. ?Measurement and Modeling of Protein Crystal Nucleation Kinetics?, Crystal Growth & Design, 2(5), 395-400, (2002).
Checkout
This paper has an Extended Abstract file available; you must purchase the conference proceedings to access it.
Do you already own this?
Log In for instructions on accessing this content.
Pricing
Individuals
AIChE Pro Members | $150.00 |
AIChE Graduate Student Members | Free |
AIChE Undergraduate Student Members | Free |
AIChE Explorer Members | $225.00 |
Non-Members | $225.00 |