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Alzheimer’s disease (AD) is an age-related neurological disease that affects tens of millions of people, in addition to their carers. Hallmark features of AD include plaques composed of amyloid beta, as well as neurofibrillary tangles of tau protein. However, despite more than a century of study, the cause of Alzheimer’s disease remains unresolved. The roles of amyloid beta and tau are being questioned and other causes of AD are now under consideration. The contributions of researchers, model organisms, and various hypotheses will be examined in this Special Issue.
HOTAIR --- neurosciences --- sleep disturbance --- positron emission tomography (PET) --- vitamin B complex --- neurodegeneration --- Tau --- miR-15/107 --- default-mode network --- complement receptor 1 --- neuronal differentiation --- epigenetics --- brain glucose metabolism --- oligomerization --- genetic risk --- A?O receptors --- prion --- ryanodine receptor --- type 3 diabetes --- complement --- cognitive behavioral therapy for insomnia --- cognitive function --- epigenome-wide association study --- Alzheimer’s disease --- calcium signaling --- ?-secretase --- tau --- Prolyl isomerases --- NEAT1 --- complement C3b/C4b receptor --- proteostasis --- amyloid beta --- yeast --- slow-wave sleep --- amyloid ? --- nutrition --- 4 --- protein aggregation --- apolipoprotein E --- dementia --- MALAT1 --- inositol 1 --- lncRNAs --- molecular biology --- methylenetetrahydrofolate reductase MTHFR gene --- 5-trisphosphate receptor --- CR1 density --- miR-34c --- aggregation --- heat shock protein --- dendritic spine --- S-adenosylmethionine --- beta amyloid --- ion channel --- inflammation --- sleep fragmentation --- cystathionine-?-lyase CTH gene --- DNA methylation --- heat shock response --- microglia --- drug target discovery --- amyloid-? oligomer --- therapy --- CR1 length polymorphism --- methylome --- APOE gene --- ubiquitin --- magnetic resonance imaging (MRI) --- neuronal degeneration --- type 2 diabetes --- Pin1 --- mild cognitive impairment --- dairy products --- endoplasmic reticulum --- oxidative stress --- Hispanics --- CDK5R1
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Disordered proteins are relatively recent newcomers in protein science. They were first described in detail by Wright and Dyson, in their J. Mol. Biol. paper in 1999. First, it was generally thought for more than a decade that disordered proteins or disordered parts of proteins have different amino acid compositions than folded proteins, and various prediction methods were developed based on this principle. These methods were suitable for distinguishing between the disordered (unstructured) and structured proteins known at that time. In addition, they could predict the site where a folded protein binds to the disordered part of a protein, shaping the latter into a well-defined 3D structure. Recently, however, evidence has emerged for a new type of disordered protein family whose members can undergo coupled folding and binding without the involvement of any folded proteins. Instead, they interact with each other, stabilizing their structure via “mutual synergistic folding” and, surprisingly, they exhibit the same residue composition as the folded protein. Increasingly more examples have been found where disordered proteins interact with non-protein macromolecules, adding to the already large variety of protein–protein interactions. There is also a very new phenomenon when proteins are involved in phase separation, which can represent a weak but functionally important macromolecular interaction. These phenomena are presented and discussed in the chapters of this book.
Research & information: general --- Biology, life sciences --- intrinsically disordered proteins --- epiproteome --- disordered protein platform --- molecular recognition feature --- post-translational modifications --- physiological homeostasis --- stress response --- RIN4 --- p53 --- molecular machines --- intrinsically disordered protein --- membrane-less organelle --- neurodegenerative disease --- p300 HAT acetylation --- post-translational modification --- protein aggregation --- Tau fibrillation --- intrinsically disorder proteins --- disorder-to-order regions --- protein–RNA interactions --- unstructured proteins --- conformational plasticity --- disordered protein --- folding --- ribosomal protein --- spectroscopy --- protein stability --- temperature response --- protein thermostability --- salt bridges --- meta strategy --- dual threshold --- significance voting --- decision tree based artificial neural network --- protein intrinsic disorder --- intrinsic disorder --- intrinsic disorder prediction --- intrinsically disordered region --- protein conformation --- transcriptome --- RNA sequencing --- Microarray --- differentially regulated genes --- gene ontology analysis --- functional analysis --- intrinsically disordered --- structural disorder --- correlated mutations --- co-evolution --- evolutionary couplings --- residue co-variation --- interaction surface --- residue contact network --- dehydron --- homodimer --- hydrogen bond --- inter-subunit interaction --- ion pair --- mutual synergistic folding --- solvent-accessible surface area --- stabilization center --- MLL proteins --- MLL4 --- lncRNA --- HOTAIR --- MEG3 --- leukemia --- histone lysine methyltransferase --- RNA binding --- protein --- hydration --- wide-line 1H NMR --- secretion --- immune --- extracellular --- protein-protein interaction --- structural domain --- evolution --- transcription factors --- DNA-protein interactions --- Sox2 sequential DNA loading --- smFRET --- DNA conformational landscape --- sequential DNA bending --- transcription factor dosage --- oligomer --- N-terminal prion protein --- copper binding --- prion disease mutations --- Nuclear pore complex --- FG-Nups --- phosphorylation --- coarse-grained --- CABS model --- MC simulations --- statistical force fields --- protein structure --- intrinsically disordered proteins (IDPs) --- neurodegenerative diseases --- aggregation --- drugs --- drug discovery --- plant virus --- eIF4E --- VPg --- potyvirus --- molten globule --- fluorescence anisotropy --- protein hydrodynamics
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Disordered proteins are relatively recent newcomers in protein science. They were first described in detail by Wright and Dyson, in their J. Mol. Biol. paper in 1999. First, it was generally thought for more than a decade that disordered proteins or disordered parts of proteins have different amino acid compositions than folded proteins, and various prediction methods were developed based on this principle. These methods were suitable for distinguishing between the disordered (unstructured) and structured proteins known at that time. In addition, they could predict the site where a folded protein binds to the disordered part of a protein, shaping the latter into a well-defined 3D structure. Recently, however, evidence has emerged for a new type of disordered protein family whose members can undergo coupled folding and binding without the involvement of any folded proteins. Instead, they interact with each other, stabilizing their structure via “mutual synergistic folding” and, surprisingly, they exhibit the same residue composition as the folded protein. Increasingly more examples have been found where disordered proteins interact with non-protein macromolecules, adding to the already large variety of protein–protein interactions. There is also a very new phenomenon when proteins are involved in phase separation, which can represent a weak but functionally important macromolecular interaction. These phenomena are presented and discussed in the chapters of this book.
intrinsically disordered proteins --- epiproteome --- disordered protein platform --- molecular recognition feature --- post-translational modifications --- physiological homeostasis --- stress response --- RIN4 --- p53 --- molecular machines --- intrinsically disordered protein --- membrane-less organelle --- neurodegenerative disease --- p300 HAT acetylation --- post-translational modification --- protein aggregation --- Tau fibrillation --- intrinsically disorder proteins --- disorder-to-order regions --- protein–RNA interactions --- unstructured proteins --- conformational plasticity --- disordered protein --- folding --- ribosomal protein --- spectroscopy --- protein stability --- temperature response --- protein thermostability --- salt bridges --- meta strategy --- dual threshold --- significance voting --- decision tree based artificial neural network --- protein intrinsic disorder --- intrinsic disorder --- intrinsic disorder prediction --- intrinsically disordered region --- protein conformation --- transcriptome --- RNA sequencing --- Microarray --- differentially regulated genes --- gene ontology analysis --- functional analysis --- intrinsically disordered --- structural disorder --- correlated mutations --- co-evolution --- evolutionary couplings --- residue co-variation --- interaction surface --- residue contact network --- dehydron --- homodimer --- hydrogen bond --- inter-subunit interaction --- ion pair --- mutual synergistic folding --- solvent-accessible surface area --- stabilization center --- MLL proteins --- MLL4 --- lncRNA --- HOTAIR --- MEG3 --- leukemia --- histone lysine methyltransferase --- RNA binding --- protein --- hydration --- wide-line 1H NMR --- secretion --- immune --- extracellular --- protein-protein interaction --- structural domain --- evolution --- transcription factors --- DNA-protein interactions --- Sox2 sequential DNA loading --- smFRET --- DNA conformational landscape --- sequential DNA bending --- transcription factor dosage --- oligomer --- N-terminal prion protein --- copper binding --- prion disease mutations --- Nuclear pore complex --- FG-Nups --- phosphorylation --- coarse-grained --- CABS model --- MC simulations --- statistical force fields --- protein structure --- intrinsically disordered proteins (IDPs) --- neurodegenerative diseases --- aggregation --- drugs --- drug discovery --- plant virus --- eIF4E --- VPg --- potyvirus --- molten globule --- fluorescence anisotropy --- protein hydrodynamics
Choose an application
Disordered proteins are relatively recent newcomers in protein science. They were first described in detail by Wright and Dyson, in their J. Mol. Biol. paper in 1999. First, it was generally thought for more than a decade that disordered proteins or disordered parts of proteins have different amino acid compositions than folded proteins, and various prediction methods were developed based on this principle. These methods were suitable for distinguishing between the disordered (unstructured) and structured proteins known at that time. In addition, they could predict the site where a folded protein binds to the disordered part of a protein, shaping the latter into a well-defined 3D structure. Recently, however, evidence has emerged for a new type of disordered protein family whose members can undergo coupled folding and binding without the involvement of any folded proteins. Instead, they interact with each other, stabilizing their structure via “mutual synergistic folding” and, surprisingly, they exhibit the same residue composition as the folded protein. Increasingly more examples have been found where disordered proteins interact with non-protein macromolecules, adding to the already large variety of protein–protein interactions. There is also a very new phenomenon when proteins are involved in phase separation, which can represent a weak but functionally important macromolecular interaction. These phenomena are presented and discussed in the chapters of this book.
Research & information: general --- Biology, life sciences --- intrinsically disordered proteins --- epiproteome --- disordered protein platform --- molecular recognition feature --- post-translational modifications --- physiological homeostasis --- stress response --- RIN4 --- p53 --- molecular machines --- intrinsically disordered protein --- membrane-less organelle --- neurodegenerative disease --- p300 HAT acetylation --- post-translational modification --- protein aggregation --- Tau fibrillation --- intrinsically disorder proteins --- disorder-to-order regions --- protein–RNA interactions --- unstructured proteins --- conformational plasticity --- disordered protein --- folding --- ribosomal protein --- spectroscopy --- protein stability --- temperature response --- protein thermostability --- salt bridges --- meta strategy --- dual threshold --- significance voting --- decision tree based artificial neural network --- protein intrinsic disorder --- intrinsic disorder --- intrinsic disorder prediction --- intrinsically disordered region --- protein conformation --- transcriptome --- RNA sequencing --- Microarray --- differentially regulated genes --- gene ontology analysis --- functional analysis --- intrinsically disordered --- structural disorder --- correlated mutations --- co-evolution --- evolutionary couplings --- residue co-variation --- interaction surface --- residue contact network --- dehydron --- homodimer --- hydrogen bond --- inter-subunit interaction --- ion pair --- mutual synergistic folding --- solvent-accessible surface area --- stabilization center --- MLL proteins --- MLL4 --- lncRNA --- HOTAIR --- MEG3 --- leukemia --- histone lysine methyltransferase --- RNA binding --- protein --- hydration --- wide-line 1H NMR --- secretion --- immune --- extracellular --- protein-protein interaction --- structural domain --- evolution --- transcription factors --- DNA-protein interactions --- Sox2 sequential DNA loading --- smFRET --- DNA conformational landscape --- sequential DNA bending --- transcription factor dosage --- oligomer --- N-terminal prion protein --- copper binding --- prion disease mutations --- Nuclear pore complex --- FG-Nups --- phosphorylation --- coarse-grained --- CABS model --- MC simulations --- statistical force fields --- protein structure --- intrinsically disordered proteins (IDPs) --- neurodegenerative diseases --- aggregation --- drugs --- drug discovery --- plant virus --- eIF4E --- VPg --- potyvirus --- molten globule --- fluorescence anisotropy --- protein hydrodynamics --- intrinsically disordered proteins --- epiproteome --- disordered protein platform --- molecular recognition feature --- post-translational modifications --- physiological homeostasis --- stress response --- RIN4 --- p53 --- molecular machines --- intrinsically disordered protein --- membrane-less organelle --- neurodegenerative disease --- p300 HAT acetylation --- post-translational modification --- protein aggregation --- Tau fibrillation --- intrinsically disorder proteins --- disorder-to-order regions --- protein–RNA interactions --- unstructured proteins --- conformational plasticity --- disordered protein --- folding --- ribosomal protein --- spectroscopy --- protein stability --- temperature response --- protein thermostability --- salt bridges --- meta strategy --- dual threshold --- significance voting --- decision tree based artificial neural network --- protein intrinsic disorder --- intrinsic disorder --- intrinsic disorder prediction --- intrinsically disordered region --- protein conformation --- transcriptome --- RNA sequencing --- Microarray --- differentially regulated genes --- gene ontology analysis --- functional analysis --- intrinsically disordered --- structural disorder --- correlated mutations --- co-evolution --- evolutionary couplings --- residue co-variation --- interaction surface --- residue contact network --- dehydron --- homodimer --- hydrogen bond --- inter-subunit interaction --- ion pair --- mutual synergistic folding --- solvent-accessible surface area --- stabilization center --- MLL proteins --- MLL4 --- lncRNA --- HOTAIR --- MEG3 --- leukemia --- histone lysine methyltransferase --- RNA binding --- protein --- hydration --- wide-line 1H NMR --- secretion --- immune --- extracellular --- protein-protein interaction --- structural domain --- evolution --- transcription factors --- DNA-protein interactions --- Sox2 sequential DNA loading --- smFRET --- DNA conformational landscape --- sequential DNA bending --- transcription factor dosage --- oligomer --- N-terminal prion protein --- copper binding --- prion disease mutations --- Nuclear pore complex --- FG-Nups --- phosphorylation --- coarse-grained --- CABS model --- MC simulations --- statistical force fields --- protein structure --- intrinsically disordered proteins (IDPs) --- neurodegenerative diseases --- aggregation --- drugs --- drug discovery --- plant virus --- eIF4E --- VPg --- potyvirus --- molten globule --- fluorescence anisotropy --- protein hydrodynamics
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