A generalized Langevin dynamics approach to model solvent dynamics effects on proteins via a solvent-accessible surface. The carboxypeptidase A inhibitor protein as a model

2000 ◽  
Vol 105 (2) ◽  
pp. 101-109 ◽  
Author(s):  
Baldomero Oliva ◽  
Xavier Daura ◽  
Enrique Querol ◽  
Francesc X. Avilés ◽  
O. Tapia
Keyword(s):  
Langevin Dynamics ◽  
Inhibitor Protein ◽  
Carboxypeptidase A ◽  
Solvent Dynamics ◽  
Accessible Surface ◽  
Solvent Accessible Surface ◽  
Generalized Langevin Dynamics

scholarly journals Pairwise calculation of protein solvent-accessible surface areas

1998 ◽  
Vol 3 (4) ◽  
pp. 253-258 ◽  
Author(s):  
Arthur G. Street ◽  
Stephen L. Mayo
Keyword(s):  
Surface Areas ◽  
Accessible Surface ◽  
Solvent Accessible Surface

scholarly journals PAMAM dendrimer: a pH-controlled nanosponge

2017 ◽  
Vol 95 (9) ◽  
pp. 991-998 ◽  
Author(s):  
Prabal K. Maiti
Keyword(s):  
Accessible Surface Area ◽  
Pamam Dendrimer ◽  
Low Ph ◽  
Dynamics Simulation ◽  
Solvent Accessible Surface Area ◽  
Water Molecules ◽  
Accessible Volume ◽  
Accessible Surface ◽  
Solvent Accessible Surface ◽  
Ph Controlled

Using fully atomistic molecular dynamics simulation that are several hundred nanoseconds long, we demonstrate the pH-controlled sponge action of PAMAM dendrimer. We show how at varying pH levels, the PAMAM dendrimer acts as a wet sponge; at neutral or low pH levels, the dendrimer expands noticeably and the interior of the dendrimer opens up to host several hundreds to thousands of water molecules depending on the generation number. Increasing the pH (i.e., going from low pH to high pH) leads to the collapse of the dendrimer size, thereby expelling the inner water, which mimics the ‘sponge’ action. As the dendrimer size swells up at a neutral pH or low pH due to the electrostatic repulsion between the primary and tertiary amines that are protonated at this pH, there is dramatic increase in the available solvent accessible surface area (SASA), as well as solvent accessible volume (SAV).

scholarly journals Mutations in RBD of SARS-CoV-2 Omicron variant result stronger binding to human ACE2 protein

2021 ◽  
Author(s):  
Cecylia Severin Lupala ◽  
Yongjin Ye ◽  
Hong Chen ◽  
Xiaodong Su ◽  
Haiguang Liu
Keyword(s):  
Complex Structure ◽  
Tight Binding ◽  
Accessible Surface Area ◽  
Solvent Accessible Surface Area ◽  
Original Strain ◽  
Receptor Binding Domain ◽  
Bonding Interaction ◽  
Accessible Surface ◽  
Dynamics Simulations ◽  
Solvent Accessible Surface

The spreading of SARS-CoV-2 virus resulted the COVID-19 pandemic, which has caused more than 5 millions of death globally. Several major variants of SARS-CoV-2 have emerged and placed challenges in controlling the infections. The recently emerged Omicron variant raised serious concerns about reducing efficacy of antibodies or vaccines, due to its vast mutations. We modelled the complex structure of human ACE2 protein and the receptor binding domain of Omicron variant, then conducted atomistic molecular dynamics simulations to study the binding interactions. The analysis shows that the Omicron variant RBD binds more strongly to the human ACE2 protein than the original strain. The mutation at the ACE2-RBD interface enhanced the tight binding by increasing hydrogen bonding interaction and enlarging buried solvent accessible surface area.

scholarly journals Analysis of Two-State Folding Using Parabolic Approximation I: Hypothesis

2016 ◽  
Author(s):  
Robert S Sade
Keyword(s):  
Gibbs Energy ◽  
Accessible Surface Area ◽  
Solvent Accessible Surface Area ◽  
Parabolic Approximation ◽  
Energy Functions ◽  
State Ensemble ◽  
The Mean ◽  
Accessible Surface ◽  
Transition State Ensemble ◽  
Solvent Accessible Surface

A model which treats the denatured and native conformers of spontaneously-folding fixed two-state systems as being confined to harmonic Gibbs energy-wells has been developed. Within the assumptions of this model the Gibbs energy functions of the denatured (DSE) and the native state (NSE) ensembles are described by parabolas, with the mean length of the reaction coordinate (RC) being given by the temperature-invariant denaturant m value. Consequently, the ensemble-averaged position of the transition state ensemble (TSE) along the RC, and the ensemble-averaged Gibbs energy of the TSE are determined by the intersection of the DSE and the NSE-parabolas. The equations derived enable equilibrium stability and the rate constants to be rationalized in terms of the mean and the variance of the Gaussian distribution of the solvent accessible surface area of the conformers in the DSE and the NSE. The implications of this model for protein folding are discussed.

scholarly journals Calculation of accurate interatomic contact surface areas for the quantitative analysis of non-bonded molecular interactions

2019 ◽  
Vol 35 (18) ◽  
pp. 3499-3501 ◽  
Author(s):  
Judemir Ribeiro ◽  
Carlos Ríos-Vera ◽  
Francisco Melo ◽  
Andreas Schüller
Keyword(s):  
Surface Area ◽  
Contact Surface ◽  
Web Server ◽  
Software Tool ◽  
Solvent Accessible Surface Area ◽  
Surface Areas ◽  
Contact Surfaces ◽  
Accessible Surface ◽  
Solvent Accessible Surface ◽  
Interatomic Contact

Abstract Summary Intra- and intermolecular contact surfaces are routinely calculated for a large array of applications in bioinformatics but are typically approximated from differential solvent accessible surface area calculations and not calculated directly. These approximations do not properly take the effects of neighboring atoms into account and tend to deviate considerably from the true contact surface. We implemented an extension of the original Shrake-Rupley algorithm to accurately estimate interatomic contact surface areas of molecular structures and complexes. Our extended algorithm is able to calculate the contact area of an atom to all nearby atoms by directly calculating overlapping surface patches, taking into account the possible shielding effects of neighboring atoms. Here, we present a versatile software tool and web server for the calculation of contact surface areas, as well as buried surface areas and solvent accessible surface areas (SASA) for different types of biomolecules, such as proteins, nucleic acids and small organic molecules. Detailed results are provided in tab-separated values format for analysis and Protein Databank files for visualization. Direct contact surface area calculation resulted in improved accuracy in a benchmark with a non-redundant set of 245 protein–DNA complexes. SASA-based approximations underestimated protein–DNA contact surfaces on average by 40%. This software tool may be useful for surface-based intra- and intermolecular interaction analyses and scoring function development. Availability and implementation A web server, stand-alone binaries for Linux, MacOS and Windows and C++ source code are freely available from http://schuellerlab.org/dr_sasa/. Supplementary information Supplementary data are available at Bioinformatics online.

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