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Protein solubility modeling

Biotechnology and Bioengineering, 1999
A thermodynamic framework (UNIQUAC model with temperature dependent parameters) is applied to model the salt-induced protein crystallization equilibrium, i.e., protein solubility. The framework introduces a term for the solubility product describing protein transfer between the liquid and solid phase and a term for the solution behavior describing ...
S M, Agena, M L, Pusey, I D, Bogle
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Protein Structure Modeling with MODELLER

2008
Genome sequencing projects have resulted in a rapid increase in the number of known protein sequences. In contrast, only about one-hundredth of these sequences have been characterized using experimental structure determination methods. Computational protein structure modeling techniques have the potential to bridge this sequence-structure gap.
Narayanan, Eswar   +4 more
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Modeling of Protein Complexes

2023
The recent advances in structural biology, combined with continuously increasing computational capabilities and development of advanced softwares, have drastically simplified the workflow for protein homology modeling. Modeling of individual proteins is nowadays quick and straightforward for a large variety of protein targets, thanks to guided ...
Scietti, Luigi, Forneris, Federico
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Protein Structure Modeling

2010
The tertiary structure of proteins can reveal information that is hard to detect in a linear sequence. Knowing the tertiary structure is valuable when generating hypothesis and interpreting data. Unfortunately, the gap between the number of known protein sequences and their associated structures is widening.
Lars, Malmström, David R, Goodlett
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Simple Lecithin-Protein Model

Journal of Pharmaceutical Sciences, 1964
Latex particles may be coated by various lecithins and protein to study their electrophoretic mobilities using the technique of cell electrophoresis. It was demonstrated that the degree of purity of L-α-lecithin profoundly affected the particle mobility; exposure of lecithin-coated latex to gamma globulin also resulted in significant differences in ...
P S, VASSAR, J S, MILLAR
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Models for protein deficiency

The American Journal of Clinical Nutrition, 1978
Analysis of existing N balance data in adult man has shown that when body weight is constant protein requirements are regulated, much like energy. Data relating to daily N balance on fixed intakes have been examined for the nature and degree of intra-individual variation.
P V, Sukhatme, S, Margen
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Modeling protein—ligand complexes

Current Opinion in Structural Biology, 1996
Increasing the rate at which new biologically active compounds are found is a major goal in pharmaceutical chemistry. Recently, several computational methods have been proposed with this intent. For some time, algorithms have been used to direct ligand evolution on the basis of complementarity to the three-dimensional structure of a selected protein ...
P, Bamborough, F E, Cohen
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Knowledge-Based Protein Modeling

Critical Reviews in Biochemistry and Molecular Biology, 1994
Knowledge, both from the three-dimensional structures of homologous proteins and from the general analysis of protein structure, is of value in modeling a protein of known sequence but unknown structure. While many models are still constructed at least in part by manual methods on graphics devices, automated procedures have come into greater use. These
M S, Johnson   +3 more
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Protein Tertiary Structure Modeling

Current Protocols in Protein Science, 2001
AbstractInsights into the 3D‐structure of a protein have proven useful during experiment design. Experimentally elucidated structures are often not available, but comparative protein modeling provides a viable alternative in many cases. This unit presents comparative protein modeling and how to use the highly sophisticated but easy‐to‐use free software
Guex, N., Schwede, T., Peitsch, M. C.
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Protein modelling for all

Trends in Biochemical Sciences, 1999
We are indebted to Silicon Graphics Inc. for deploying their hardware located in Cortaillod (Switzerland), Pamela Bremer, Igor Zacharov and Jan Boerhout for their crucial help during the 3DCrunch experiment.
N, Guex, A, Diemand, M C, Peitsch
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