286 research outputs found
Spherical principal series of quantum Harish-Chandra modules
The non-degenerate spherical principal series of quantum Harish-Chandra
modules is constructed. These modules appear in the theory of quantum bounded
symmertic domains.Comment: 14 page
On a q-analog of the Wallach-Okounkov formula
We obtain a -analog of the well known Wallach-Okounkov result on a joint
spectrum of invariant differential operators with polynomial coefficients on a
prehomogeneous vector space of complex -matrices. We are motivated
by applications to the problems of harmonic analysis in the quantum matrix
ball: our main theorem can be used while proving the Plancherel formula (to be
published).
This paper is dedicated to our friend and colleague Dmitry Shklyarov who
celebrates his 30-th birthday on April 8, 2006.Comment: 10 pages, corrected minor misprint
Low-energy vibrational density of states of plasticized poly(methyl methacrylate)
The low-energy vibrational density of states (VDOS)of hydrogenated or
deuterated poly(methyl methacrylate)(PMMA)plasticized by dibutyl phtalate (DBP)
is determined by inelastic neutron scattering.From experiment, it is equal to
the sum of the ones of the PMMA and DBP components.However, a partition of the
total low-energy VDOS among PMMA and DBP was observed.Contrary to Raman
scattering, neutron scattering does not show enhancement of the boson peak due
to plasticization.Comment: 9 pages, 2 figures (Workshop on Disordered Systems, Andalo
Spherical Principal Series of Quantum Harish-Chandra Modules
The nondegenerate spherical principal series of quantum Harish-Chandra modules is constructed. These modules appear in the theory of quantum bounded symmetric domains
Optimum Treatment Strategy in Chronic Coronary Syndromes: the New Trials vs the Current Guidelines
Coronary revascularization is one of the most studied types of interventions in cardiology, but there is no consensus among specialists about the indications for its implementation in patients with chronic coronary syndromes (CCS). The data of recently completed clinical trials on the role of revascularization in CCS clearly contradict the current Guidelines, emphasizing the high effectiveness of modern conservative therapy. This paper discusses the main recommendations of the most significant American and European Guidelines on myocardial revascularization, and also analyzes the appropriateness of revascularization to improve the prognosis and symptoms in chronic coronary syndromes in view of the new research data, primarily the ISCHEMIA study (NCT01471522). Its strengths and limitations are discussed in detail. The data on the expediency of revacularization in CCS, obtained after the completion of ISCHEMIA and its potential significance, as well as subgroup analyses of ISCHEMIA, including in the most important βproblemβ subgroups (3-vessel disease, proximal LAD disease, severe ischemia on stress test, etc.) are discussed. The paper also discusses the important achievements in modern drug therapy of chronic coronary syndromes, primarily antithrombotic therapy. The data of the COMPASS study (NCT01776424) are discussed, based on which the addition of a second antithrombotic drug β rivaroxaban in a small dose (2.5 mg BID) β is recommended for patients with CCS without atrial fibrillation who have high-risk characteristics. Indications the administration of dual antithrombotic therapy to patients with CCS, comparative results of its various regimens in relation to the prevention of cardiovascular complications, the risk of bleeding and the net clinical effect are given
Degenerate principal series of quantum Harish-Chandra modules
In this paper we study a quantum analogue of a degenerate principal series of
-modules () related to the Shilov boundary of
the quantum -matrix unit ball. We give necessary and sufficient
conditions for the modules to be simple and unitarizable and investigate their
equivalence.
These results are q-analogues of known classical results on reducibility and
unitarizability of SU(n,n)-modules obtained by Johnson, Sahi, Zhang, Howe and
Tan.Comment: 33 pages, 4 figure
Inelastic light, neutron, and X-ray scatterings related to the heterogeneous elasticity of glasses
The effects of plasticization of poly(methyl methacrylate) glass on the boson
peaks observed by Raman and neutron scattering are compared. In plasticized
glass the cohesion heterogeneities are responsible for the neutron boson peak
and partially for the Raman one, which is enhanced by the composition
heterogeneities. Because the composition heterogeneities have a size similar to
that of the cohesion ones and form quasiperiodic clusters, as observed by small
angle X-ray scattering, it is inferred that the cohesion heterogeneities in a
normal glass form nearly periodic arrangements too. Such structure at the
nanometric scale explains the linear dispersion of the vibrational frequency
versus the transfer momentum observed by inelastic X-ray scattering.Comment: 9 pages, 2 figures, to be published in J. Non-Cryst. Solids
(Proceedings of the 4th IDMRCS
ΠΠΈΠΊΡΠΎΠ ΠΠ: ΠΏΠΎΠ»ΠΎΠ²ΡΠ΅ Π³ΠΎΡΠΌΠΎΠ½Ρ, Π³ΠΎΡΠΌΠΎΠ½Π°Π»ΡΠ½ΡΠΉ ΠΊΠ°Π½ΡΠ΅ΡΠΎΠ³Π΅Π½Π΅Π·, Π³ΠΎΡΠΌΠΎΠ½ΠΎΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΎΠΏΡΡ ΠΎΠ»Π΅Π²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ
Sex hormones, regulating normal physiological processes of most tissues and organs, are considered to be one of the key factors in the development and progression of the reproductive system cancer. Recently, the importance of the system for post-transcriptional control of gene expression mediated by short single-stranded RNA molecules (microRNA) became evident. This system is involved in regulation of normal physiological processes and in the pathogenesis of many diseases, including cancer. In review we discuss the relationship between the two regulatory systems β sex hormones and microRNAs. The relationship of these systems is considered in the context of two tumors β breast and prostate cancer. In particular, the history of research on the role of sex hormones in the pathogenesis of breast cancer and prostate cancer is briefly covered. Additionally, modern scientific data on the biogenesis and biological role of microRNAs are presented in more detail. In the cells of the hormone-sensitive tissues, sex hormones regulate the microRNA-mediated machinery of gene expression control by two known ways: specifically, affecting the activity of individual microRNA molecules and non-specifically by altering the efficiency of microRNA biogenesis and activity of RNA-induced silencing complex. This downstream regulatory network substantially enhances biological effects of sex hormones at physiological conditions. Malignant transformation leads to a distortion of the regulatory effects of sex hormones that crucially influence the system of microRNA-regulated post-transcriptional control of gene expression. The most established and clinically significant example of such phenomenon is the loss of sensitivity of cells to the regulatory action of these hormones. As a consequence, cancer cells acquire the ability to active proliferation without stimulation with sex hormones. This effect is partly mediated by microRNAs. Also, relevant experimental data indicating the involvement of microRNAs in the phenomenon of breast cancer and prostate cancer cells hormone resistance are discussed in the review.Conception of the possible primary role of microRNAs in the process of malignant transformation and distortion of hormonal regulation is based on a smaller number of scientific reports. In general, in accordance with the main biological role of microRNAs, latter may affect sex hormones function via interaction with the mRNAs of hormone receptors and inhibition of their synthesis. As a result, the effect of many microRNA is converging on the single mRNA, results in suppression of corresponding protein function and, in the end, leads to inhibition of regulatory cascade downstream of sex steroids.Finally, the analysis of the fundamental aspects of sex hormones β microRNA interplay is supplemented by brief overview of clinically significant problems. The prospects for development and introduction into clinical practice innovative methods of diagnosis, prediction and optimization of therapy of breast and prostate cancers are discussed as well.ΠΠΎΠ»ΠΎΠ²ΡΠ΅ Π³ΠΎΡΠΌΠΎΠ½Ρ, ΡΠ΅Π³ΡΠ»ΠΈΡΡΡ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΡΠ΅ ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π° ΡΠΊΠ°Π½Π΅ΠΉ ΠΈ ΠΎΡΠ³Π°Π½ΠΎΠ², ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΠΎ ΡΡΠΈΡΠ°ΡΡΡΡ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΊΠ»ΡΡΠ΅Π²ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΠΈ ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ ΠΎΡΠ³Π°Π½ΠΎΠ² ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. Π ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΡ
Π»Π΅Ρ ΡΡΠ°Π»Π° ΠΎΡΠ΅Π²ΠΈΠ΄Π½ΠΎΠΉ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΠΎΡΡΡΡΠ°Π½ΡΠΊΡΠΈΠΏΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ Π³Π΅Π½Π½ΠΎΠΉ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ, ΠΎΠΏΠΎΡΡΠ΅Π΄ΡΠ΅ΠΌΠΎΠΉ ΠΊΠΎΡΠΎΡΠΊΠΈΠΌΠΈ ΠΎΠ΄Π½ΠΎΡΠ΅ΠΏΠΎΡΠ΅ΡΠ½ΡΠΌΠΈ ΠΌΠΎΠ»Π΅ΠΊΡΠ»Π°ΠΌΠΈ Π ΠΠ, ΡΠ°ΠΊ Π½Π°Π·ΡΠ²Π°Π΅ΠΌΡΠΌΠΈ ΠΌΠΈΠΊΡΠΎΠ ΠΠ, Π² ΡΠ΅Π³ΡΠ»ΡΡΠΈΠΈ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΡΡ
ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΈ Π² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·Π΅ ΠΌΠ½ΠΎΠ³ΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Π²ΠΊΠ»ΡΡΠ°Ρ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅. Π ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΌ ΠΎΠ±Π·ΠΎΡΠ΅ ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΡΡΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ Π΄Π²ΡΠΌΡ Π² ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΌ ΡΠΌΡΡΠ»Π΅ ΡΠ°ΠΌΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΡΠΌΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌΠΈ β ΠΏΠΎΠ»ΠΎΠ²ΡΠΌΠΈ Π³ΠΎΡΠΌΠΎΠ½Π°ΠΌΠΈ ΠΈ ΠΌΠΈΠΊΡΠΎΠ ΠΠ. ΠΠ·Π°ΠΈΠΌΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΡΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ Π΄Π²ΡΡ
ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ β ΡΠ°ΠΊΠ° ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ (Π ΠΠ) ΠΈ ΡΠ°ΠΊΠ° ΠΏΡΠ΅Π΄ΡΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ (Π ΠΠ).ΠΡΠ°ΡΠΊΠΎ ΠΎΡΠ²Π΅ΡΠ°Π΅ΡΡΡ ΠΈΡΡΠΎΡΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠΎΠ»ΠΈ ΠΏΠΎΠ»ΠΎΠ²ΡΡ
Π³ΠΎΡΠΌΠΎΠ½ΠΎΠ² Π² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·Π΅ Π ΠΠ ΠΈ Π ΠΠ, Π±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΎ Π±ΠΈΠΎΠ³Π΅Π½Π΅Π·Π΅ ΠΈ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΠ»ΠΈ ΠΌΠΈΠΊΡΠΎΠ ΠΠ. Π ΠΊΠ»Π΅ΡΠΊΠ°Ρ
Π³ΠΎΡΠΌΠΎΠ½ΠΎΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΊΠ°Π½Π΅ΠΉ ΠΏΠΎΠ»ΠΎΠ²ΡΠ΅ Π³ΠΎΡΠΌΠΎΠ½Ρ ΡΠ΅Π³ΡΠ»ΠΈΡΡΡΡ ΡΠ°Π±ΠΎΡΡ ΠΌΠΈΠΊΡΠΎΠ ΠΠ-Π°ΠΏΠΏΠ°ΡΠ°ΡΠ° ΡΠ΅Π³ΡΠ»ΡΡΠΈΠΈ Π³Π΅Π½Π½ΠΎΠΉ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ Π΄Π²ΡΠΌΡ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΠΌΠΈ ΠΏΡΡΡΠΌΠΈ: ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎ, Π²Π»ΠΈΡΡ Π½Π° Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΠΌΠΎΠ»Π΅ΠΊΡΠ» ΠΌΠΈΠΊΡΠΎΠ ΠΠ, ΠΈ Π½Π΅ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎ, ΠΈΠ·ΠΌΠ΅Π½ΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π±ΠΈΠΎΠ³Π΅Π½Π΅Π·Π° ΠΌΠΈΠΊΡΠΎΠ ΠΠ ΠΈ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠΈΡΠΎΠΏΠ»Π°Π·ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π ΠΠ-Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ°. Π‘ ΡΡΠ΅ΡΠΎΠΌ ΡΠ°Π±ΠΎΡΡ ΡΠ°ΠΊΠΎΠΉ ΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΠΎΠΉ ΡΠ΅ΡΠΈ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΡΠ°ΡΡΠΈΡΡΡΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΎ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΡΠ΅ΠΊΡΠ°Ρ
ΠΏΠΎΠ»ΠΎΠ²ΡΡ
Π³ΠΎΡΠΌΠΎΠ½ΠΎΠ² Π² ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
. ΠΠ»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΡ ΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΡΡ
ΡΡΡΠ΅ΠΊΡΠΎΠ² ΠΏΠΎΠ»ΠΎΠ²ΡΡ
Π³ΠΎΡΠΌΠΎΠ½ΠΎΠ², ΡΡΠΎ ΠΎΡΡΠ°ΠΆΠ°Π΅ΡΡΡ ΠΈ ΡΡΠΈΠ»ΠΈΠ²Π°Π΅ΡΡΡ ΡΠ΅Π³ΡΠ»ΠΈΡΡΠ΅ΠΌΠΎΠΉ ΠΈΠΌΠΈ ΡΠΈΡΡΠ΅ΠΌΠΎΠΉ ΠΏΠΎΡΡΡΡΠ°Π½ΡΠΊΡΠΈΠΏΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ Π³Π΅Π½Π½ΠΎΠΉ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ, ΠΎΠΏΠΎΡΡΠ΅Π΄ΡΠ΅ΠΌΠΎΠΉ ΠΌΠΈΠΊΡΠΎΠ ΠΠ. Π ΡΠΈΡΠ»Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
ΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΠΏΡΠΈΠΌΠ΅ΡΠΎΠ² ΡΡΠΎΠ³ΠΎ ΡΠ΅Π½ΠΎΠΌΠ΅Π½Π° ΠΎΡΠ½ΠΎΡΠΈΡΡΡ ΡΡΡΠ°ΡΠ° ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΊ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΏΠΎΠ»ΠΎΠ²ΡΡ
Π³ΠΎΡΠΌΠΎΠ½ΠΎΠ², Π½Π° ΡΠΎΠ½Π΅ ΡΠ΅Π³ΠΎ ΠΊΠ»Π΅ΡΠΊΠΈ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°ΡΡ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΠΊ Π°ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΏΡΠΎΠ»ΠΈΡΠ΅ΡΠ°ΡΠΈΠΈ Π±Π΅Π·Π³ΠΎΡΠΌΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΡΠΈΠΌΡΠ»ΡΡΠΈΠΈ Π·Π° ΡΡΠ΅Ρ ΠΏΠΎΠ΄ΠΊΠ»ΡΡΠ΅Π½ΠΈΡ ΠΊΠΎΠ»Π»Π°ΡΠ΅ΡΠ°Π»ΡΠ½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΡΠ½ΡΡ
ΠΏΡΡΠ΅ΠΉ ΠΈ ΡΠΎΡΡΠΎΠ²ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ². ΠΡΠΎΡ ΡΠ΅Π½ΠΎΠΌΠ΅Π½ ΠΎΡΡΠ°ΡΡΠΈ ΠΎΠΏΠΎΡΡΠ΅Π΄ΡΠ΅ΡΡΡ ΠΌΠΈΠΊΡΠΎΠ ΠΠ, ΠΈ ΠΊΠ°ΠΊ ΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠ΅, ΠΊ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΡΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅, ΡΠΊΠ°Π·ΡΠ²Π°ΡΡΠΈΠ΅ Π½Π° ΠΏΡΠΈΡΠ°ΡΡΠ½ΠΎΡΡΡ ΠΌΠΈΠΊΡΠΎΠ ΠΠ ΠΊ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π½ΠΎΠΌΠ΅Π½Π° Π³ΠΎΡΠΌΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΠΎΡΡΠΈ ΠΊΠ»Π΅ΡΠΎΠΊ Π ΠΠ ΠΈ Π ΠΠ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠΉ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠΉ ΡΠΎΠ»ΠΈ Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ ΡΡΠ½ΠΊΡΠΈΠΉ ΠΌΠΈΠΊΡΠΎΠ ΠΠ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΎΠΏΡΡ
ΠΎΠ»Π΅Π²ΠΎΠΉ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈ ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΡ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π³ΠΎΡΠΌΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠ΅Π³ΡΠ»ΡΡΠΈΠΈ ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ Π½Π° ΠΌΠ΅Π½ΡΡΠ΅ΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΡ
ΠΈ ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. Π ΡΠ΅Π»ΠΎΠΌ, Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΉ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΠ»ΡΡ ΠΌΠΈΠΊΡΠΎΠ ΠΠ, ΠΈΡ
ΡΠ°ΡΠ³Π΅ΡΠ½ΠΎΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° ΡΡΠ½ΠΊΡΠΈΠΈ ΠΏΠΎΠ»ΠΎΠ²ΡΡ
Π³ΠΎΡΠΌΠΎΠ½ΠΎΠ² Π² ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΌ ΠΎΠΏΠΎΡΡΠ΅Π΄ΡΠ΅ΡΡΡ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ΠΌ Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΡΠ°ΡΡΠΊΠ°ΠΌΠΈ ΠΌΠ°ΡΡΠΈΡΠ½ΠΎΠΉ Π ΠΠ (ΠΌΠ ΠΠ) ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
Π³ΠΎΡΠΌΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠ΅ΡΠ΅ΠΏΡΠΎΡΠΎΠ² ΠΈ Π²Π΅Π΄Π΅Ρ ΠΊ ΡΠ³Π½Π΅ΡΠ΅Π½ΠΈΡ ΡΠΈΠ½ΡΠ΅Π·Π° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΡ
. Π ΠΈΡΠΎΠ³Π΅ Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΈΡ
ΠΌΠΈΠΊΡΠΎΠ ΠΠ ΠΊΠΎΠ½Π²Π΅ΡΠ³ΠΈΡΡΠ΅ΡΡΡ Π½Π° ΠΎΠ΄Π½ΠΎΠΉ ΠΌΠΎΠ»Π΅ΠΊΡΠ»Π΅ ΠΌΠ ΠΠ, ΡΡΠΎ Π² Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π΅ ΡΠ»ΡΡΠ°Π΅Π² ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΠΏΠΎΠ΄Π°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»ΡΠ½ΡΡ
ΠΊΠ°ΡΠΊΠ°Π΄ΠΎΠ², ΠΈΠ½Π΄ΡΡΠΈΡΡΠ΅ΠΌΡΡ
ΠΏΠΎΠ»ΠΎΠ²ΡΠΌΠΈ Π³ΠΎΡΠΌΠΎΠ½Π°ΠΌΠΈ.ΠΠ½Π°Π»ΠΈΠ· ΡΡΠ½Π΄Π°ΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
Π°ΡΠΏΠ΅ΠΊΡΠΎΠ² Π΄ΠΎΠΏΠΎΠ»Π½Π΅Π½ ΠΎΠ±Π·ΠΎΡΠΎΠΌ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ, Π² ΡΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΊΠΎΡΠΎΡΡΡ
Π΄ΠΎΠ»ΠΆΠ½Π° ΡΡΠΈΡΡΠ²Π°ΡΡΡΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΏΠΎΠ»ΠΎΠ²ΡΡ
Π³ΠΎΡΠΌΠΎΠ½ΠΎΠ² ΠΈ ΠΌΠΈΠΊΡΠΎΠ ΠΠ. ΠΠΎΡΠΎΡΠΊΠΎ ΠΎΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ Π² ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΡΡ ΠΏΡΠ°ΠΊΡΠΈΠΊΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ, ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΎΠΏΡΡ
ΠΎΠ»Π΅Π²ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π³ΠΎΡΠΌΠΎΠ½ΠΎΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΊΠ°Π½Π΅ΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ²Π΅Π΄Π΅Π½ΠΈΠΉ ΠΎ ΠΌΠΈΠΊΡΠΎΠ ΠΠ ΠΈ ΠΈΡ
ΡΠ²ΡΠ·ΡΡ
Ρ ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΠΌΡΠΌΠΈ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ
Experimental library screening demonstrates the successful application of computational protein design to large structural ensembles
The stability, activity, and solubility of a protein sequence are determined by a delicate balance of molecular interactions in a variety of conformational states. Even so, most computational protein design methods model sequences in the context of a single native conformation. Simulations that model the native state as an ensemble have been mostly neglected due to the lack of sufficiently powerful optimization algorithms for multistate design. Here, we have applied our multistate design algorithm to study the potential utility of various forms of input structural data for design. To facilitate a more thorough analysis, we developed new methods for the design and high-throughput stability determination of combinatorial mutation libraries based on protein design calculations. The application of these methods to the core design of a small model system produced many variants with improved thermodynamic stability and showed that multistate design methods can be readily applied to large structural ensembles. We found that exhaustive screening of our designed libraries helped to clarify several sources of simulation error that would have otherwise been difficult to ascertain. Interestingly, the lack of correlation between our simulated and experimentally measured stability values shows clearly that a design procedure need not reproduce experimental data exactly to achieve success. This surprising result suggests potentially fruitful directions for the improvement of computational protein design technology
Parafermionic Liouville field theory and instantons on ALE spaces
In this paper we study the correspondence between the
coset conformal field
theories and SU(n) gauge theories on
. Namely we check the correspondence between the
SU(2) Nekrasov partition function on and the
conformal blocks of the parafermion algebra (in and modules).
We find that they are equal up to the U(1)-factor as it was in all cases of
AGT-like relations. Studying the structure of the instanton partition function
on we also find some evidence that this
correspondence with arbitrary takes place up to the U(1)-factor.Comment: 21 pages, 6 figures, misprints corrected, references added, version
to appear in JHE
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