55 research outputs found
ΠΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΠ΅ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΌΠ°ΡΡΠΎΠ²ΠΎΠΉ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ΅
Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΠΌΠ°ΡΡΠΎΠ²Π°Ρ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ° ΠΊΠ°ΠΊ ΠΎΠ΄ΠΈΠ½ ΠΈΠ· ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΈ. ΠΠ° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠΎΠΌΠ°Π½ΠΎΠ² Π. Π. ΠΡΡΠΊΠΎΠ²Π° ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΠΊΠ°ΠΊΠΈΠ΅ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΠ΅ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ ΠΏΠΈΡΠ°ΡΠ΅Π»Π΅ΠΌ Ρ ΡΠ΅Π»ΡΡ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΈΡΠ°ΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ°
Evaluation and Improvement of Nuclear Security Measures at a Radiological Facility in Morocco
Nuclear security combines both concepts of physical security and security culture within a nuclear facility to protect people, property, society and the environment from harmful effects of ionization radiation. Physical security means prevention, detection, and response to unauthorized removal, sabotage, and/or illegal transfer involving radioactive sources and nuclear material. Nuclear security culture is the human factor within the nuclear field which is considered a principal means to support and enhance nuclear security system. This paper presents a study of nuclear security system already established within a radiological facility considering concepts such as: deter, detect, delay, and response layers. This study focuses on nuclear security culture in order to assess, improve, and complement existing nuclear security practices
Data Resources for Structural Bioinformatics
While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims to give an introduction into Structural Bioinformatics, which is where the previous topics meet to explore three dimensional protein structures through computational analysis. We provide an overview of existing computational techniques, to validate, simulate, predict and analyse protein structures. More importantly, it will aim to provide practical knowledge about how and when to use such techniques. We will consider proteins from three major vantage points: Protein structure quantification, Protein structure prediction, and Protein simulation & dynamics. Structural bioinformatics involves a variety of computational methods, all of which require input data. Typical inputs include protein structures and sequences, which are usually retrieved from a public or private database. This chapter introduces several key resources that make such data available, as well as a handful of tools that derive additional information from experimentally determined or computationally predicted protein structures and sequences
Data Resources for Structural Bioinformatics
While many good textbooks are available on Protein Structure, Molecular
Simulations, Thermodynamics and Bioinformatics methods in general, there is no
good introductory level book for the field of Structural Bioinformatics. This
book aims to give an introduction into Structural Bioinformatics, which is
where the previous topics meet to explore three dimensional protein structures
through computational analysis. We provide an overview of existing
computational techniques, to validate, simulate, predict and analyse protein
structures. More importantly, it will aim to provide practical knowledge about
how and when to use such techniques. We will consider proteins from three major
vantage points: Protein structure quantification, Protein structure prediction,
and Protein simulation & dynamics.
Structural bioinformatics involves a variety of computational methods, all of
which require input data. Typical inputs include protein structures and
sequences, which are usually retrieved from a public or private database. This
chapter introduces several key resources that make such data available, as well
as a handful of tools that derive additional information from experimentally
determined or computationally predicted protein structures and sequences.Comment: editorial responsability: Sanne Abeln, K. Anton Feenstra, Halima
Mouhib. This chapter is part of the book "Introduction to Protein Structural
Bioinformatics". The Preface arXiv:1801.09442 contains links to all the
(published) chapters. The update adds available arxiv hyperlinks for the
chapter
Monte Carlo for Protein Structures
While many good textbooks are available on Protein Structure, Molecular
Simulations, Thermodynamics and Bioinformatics methods in general, there is no
good introductory level book for the field of Structural Bioinformatics. This
book aims to give an introduction into Structural Bioinformatics, which is
where the previous topics meet to explore three dimensional protein structures
through computational analysis. We provide an overview of existing
computational techniques, to validate, simulate, predict and analyse protein
structures. More importantly, it will aim to provide practical knowledge about
how and when to use such techniques. We will consider proteins from three major
vantage points: Protein structure quantification, Protein structure prediction,
and Protein simulation & dynamics.
In the previous chapter "Molecular Dynamics" we have considered protein
simulations from a dynamical point of view, using Newton's laws. In the current
Chapter, we first take a step back and return to the bare minimum needed to
simulate proteins, and show that proteins may be simulated in a more simple
fashion, using the partition function directly. This means we do not have to
calculate explicit forces, velocities, moments and do not even consider time
explicitly. Instead, we will rely on the fact that for most systems we will
want to simulate, the system is in a dynamic equilibrium; and that we want to
find the most stable states in such systems by determining the relative
stabilities between those states.Comment: editorial responsability: Juami H. M. van Gils, K. Anton Feenstra,
Sanne Abeln. This chapter is part of the book "Introduction to Protein
Structural Bioinformatics". The Preface arXiv:1801.09442 contains links to
all the (published) chapters. The update adds available arxiv hyperlinks for
the chapter
Monte Carlo for Protein Structures
While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims to give an introduction into Structural Bioinformatics, which is where the previous topics meet to explore three dimensional protein structures through computational analysis. We provide an overview of existing computational techniques, to validate, simulate, predict and analyse protein structures. More importantly, it will aim to provide practical knowledge about how and when to use such techniques. We will consider proteins from three major vantage points: Protein structure quantification, Protein structure prediction, and Protein simulation & dynamics. In the previous chapter "Molecular Dynamics" we have considered protein simulations from a dynamical point of view, using Newton's laws. In the current Chapter, we first take a step back and return to the bare minimum needed to simulate proteins, and show that proteins may be simulated in a more simple fashion, using the partition function directly. This means we do not have to calculate explicit forces, velocities, moments and do not even consider time explicitly. Instead, we will rely on the fact that for most systems we will want to simulate, the system is in a dynamic equilibrium; and that we want to find the most stable states in such systems by determining the relative stabilities between those states
Thermodynamics of Protein Folding
While many good textbooks are available on Protein Structure, Molecular
Simulations, Thermodynamics and Bioinformatics methods in general, there is no
good introductory level book for the field of Structural Bioinformatics. This
book aims to give an introduction into Structural Bioinformatics, which is
where the previous topics meet to explore three dimensional protein structures
through computational analysis. We provide an overview of existing
computational techniques, to validate, simulate, predict and analyse protein
structures. More importantly, it will aim to provide practical knowledge about
how and when to use such techniques. We will consider proteins from three major
vantage points: Protein structure quantification, Protein structure prediction,
and Protein simulation & dynamics.
In the previous chapter, "Introduction to Protein Folding", we introduced the
concept of free energy and the protein folding landscape. Here, we provide a
deeper, more formal underpinning of free energy in terms of the entropy and
enthalpy; to this end, we will first need to better define the meaning of
equilibrium, entropy and enthalpy. When we understand these concepts, we will
come back for a more quantitative explanation of protein folding and dynamics.
We will discuss the influence of temperature on the free energy landscape, and
the difference between microstates and macrostates.Comment: editorial responsability: Juami H. M. van Gils, K. Anton Feenstra,
Sanne Abeln. This chapter is part of the book "Introduction to Protein
Structural Bioinformatics". The Preface arXiv:1801.09442 contains links to
all the (published) chapters. The update adds available arxiv hyperlinks for
the chapter
Thermodynamics of Protein Folding
While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims to give an introduction into Structural Bioinformatics, which is where the previous topics meet to explore three dimensional protein structures through computational analysis. We provide an overview of existing computational techniques, to validate, simulate, predict and analyse protein structures. More importantly, it will aim to provide practical knowledge about how and when to use such techniques. We will consider proteins from three major vantage points: Protein structure quantification, Protein structure prediction, and Protein simulation & dynamics. In the previous chapter, "Introduction to Protein Folding", we introduced the concept of free energy and the protein folding landscape. Here, we provide a deeper, more formal underpinning of free energy in terms of the entropy and enthalpy; to this end, we will first need to better define the meaning of equilibrium, entropy and enthalpy. When we understand these concepts, we will come back for a more quantitative explanation of protein folding and dynamics. We will discuss the influence of temperature on the free energy landscape, and the difference between microstates and macrostates
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