about
Comparison of and limits of accuracy for statistical analyses of vibrational and electronic circular dichroism spectra in terms of correlations to and predictions of protein secondary structure.Protein structural segments and their interconnections derived from optical spectra. Thermal unfolding of ribonuclease T1 as an example.Small hepatocellular carcinomas and thrombocytopenia.Thrombocytopenia in relation to tumor size in patients with hepatocellular carcinoma.Identification of two clinical hepatocellular carcinoma patient phenotypes from results of standard screening parameters.Macro- and micro-environmental factors in clinical hepatocellular cancer.Evaluation of total hepatocellular cancer lifespan, including both clinically evident and preclinical development, using combined network phenotyping strategy and fisher information analysis.Family networks of obesity and type 2 diabetes in rural AppalachiaFeasibility of adolescents to conduct community-based participatory research on obesity and diabetes in rural Appalachia.Phenotypic Categorization and Profiles of Small and Large Hepatocellular Carcinomas.A new mathematical model for the interpretation of translational research evaluating six CTLA-4 polymorphisms in high-risk melanoma patients receiving adjuvant interferonEfficient RNA interference depends on global context of the target sequence: quantitative analysis of silencing efficiency using Eulerian graph representation of siRNA.Thermal unfolding of ribonuclease A in phosphate at neutral pH: deviations from the two-state model.WT p53, but not tumor-derived mutants, bind to Bcl2 via the DNA binding domain and induce mitochondrial permeabilization.Significance of increased serum GGTP levels in HCC patients.Small hepatocellular carcinoma in Chinese patients.The dynamic behavior of annexin V as a function of calcium ion binding: a circular dichroism, UV absorption, and steady-state and time-resolved fluorescence study.Validation of the Concept of a Common Typical Time of Disease Duration for Hepatocellular Carcinoma Patients Using the Fisher Information Processing of Tumor Imaging Results Combined With Network Phenotyping Strategy Quantification of Individual PatNetwork-based analysis of survival for unresectable hepatocellular carcinoma.HCC in older patients.Patterns of p73 N-terminal isoform expression and p53 status have prognostic value in gynecological cancers.Novel matrix descriptor for secondary structure segments in proteins: demonstration of predictability from circular dichroism spectra.Vibrational circular dichroism spectra of proteins in the amide III region: measurement and correlation of bandshape to secondary structure.Predictions of secondary structure using statistical analyses of electronic and vibrational circular dichroism and Fourier transform infrared spectra of proteins in H2O.Quantitative analysis of vibrational circular dichroism spectra of proteins. Problems and perspectives.Statistical analyses of the vibrational circular dichroism of selected proteins and relationship to secondary structures.HCC in young adults.Conformational transitions in phosvitin with pH variation. Vibrational circular dichroism study.Vibrational circular dichroism studies of epidermal growth factor and basic fibroblast growth factorComparison of alpha-lactalbumin and lysozyme using vibrational circular dichroism. Evidence for a difference in crystal and solution structuresSystematic comparison of statistical analyses of electronic and vibrational circular dichroism for secondary structure prediction of selected proteinsDetection and characterization of triple-helical pyrimidine-purine-pyrimidine nucleic acids with vibrational circular dichroismSpectroscopic study of the temperature-dependent conformation of glucoamylaseEnhanced prediction accuracy of protein secondary structure using hydrogen exchange Fourier transform infrared spectroscopyCharacterization of alanine-rich peptides, Ac-(AAKAA)n-GY-NH2 (n = 1-4), using vibrational circular dichroism and Fourier transform infrared. Conformational determination and thermal unfoldingCalculating sequence-dependent melting stability of duplex DNA oligomers and multiplex sequence analysis by graphsPredictions of protein secondary structures using factor analysis on Fourier transform infrared spectra: effect of Fourier self-deconvolution of the amide I and amide II bandsDNA sequence context and multiplex hybridization reactions: melting studies of heteromorphic duplex DNA complexesApplication of graph-based analysis of genomic sequence context for characterization of drug targetsSmall HCCs identified by screening
P50
Q30417858-EA0335C7-A150-48D7-8059-3986A2F5FC04Q30425473-48110784-0E67-4D66-B43C-C470891A2CB3Q33403504-23109549-FA20-48C2-B6ED-21B6ED86BD6EQ33403505-38434F19-B04E-47E0-B42D-E463C302C6C8Q33416414-A178B52B-9D4D-42B4-861D-DF712CF1F785Q33600604-0AB6D762-8A5C-4E26-976A-069F9AF7E9BCQ35298123-44668B89-F284-4F41-871F-F6D36A35CD2CQ36436441-057D9134-3E39-4935-8B30-C0AEABDD6DB7Q36436457-B4D100D3-E013-4DB5-98E5-F47ECA4368B7Q37099393-48931D63-7E7F-405C-886E-21B1B273B222Q37520710-AEA9BDF7-CE4F-4454-978A-20FDB1395C4FQ37520714-70B102D6-9878-4A05-B625-517BCCEFAFEFQ38273077-238C6479-7C80-4D29-AA73-C86E6AE649BDQ40323754-D3A8894E-5135-4356-A178-FC467310F796Q44770913-56237159-EADF-458D-B4F7-39416ACA9379Q44836971-70EE4F14-5401-4340-A779-24C55F06578FQ50773617-FB575F6D-3914-47B5-AC9A-649874C7BE30Q50861446-61D5C26B-1440-4662-B8F3-8CA34309E422Q51695657-801160AD-A000-4352-9D99-AF15E54B212CQ51713063-977F7DD5-1B85-4B01-BF1D-F31F3B420D5BQ51933734-1C9A3EE4-3565-4FF4-BB4E-CCFB496912C1Q52226273-D104E787-D76E-467F-BAD9-47AE86F81AE2Q52259239-AB07E2EA-53E4-4AAD-AC4B-C0AC3D01A646Q52303132-ACC8482C-39EE-4F6D-83C1-3122AA809B8EQ52386561-B358D9A6-3DB3-4A92-8D73-9A0972974931Q52449462-DB6B8A87-D985-424E-85A8-9A04D6CA7DFFQ53296436-1F165946-F950-49F8-8FB0-352082E5DF54Q64977293-40712499-9FA3-4FAE-8281-203AD31E0A1AQ67568095-6F2F729D-7869-49BF-A1EA-9D13A9FA70CBQ68030488-E8E34650-BC7A-48AA-9E02-CDAFFEAE39E1Q70228572-5C813848-1A9D-4204-8F79-6CEAB1ED841CQ71633805-37D2C6A8-38ED-4677-B710-12EEF71C16A3Q72674913-9BFAAA13-D819-4868-AE48-D35C1011D867Q73775842-E30C5520-CE41-4A5E-A53C-E9267489219EQ73940340-919714B8-D20A-45E9-84AC-F7D3CC26F99CQ74335505-CEECAC03-FB8F-4B0E-9E1A-1651860C6A6BQ74476778-8DB0EFE1-FB5F-47AF-8FE9-7AEE97F8A6EFQ78756755-8CB21CD4-5E81-4CE9-BEAF-9DAA6DE7217EQ79802202-E51DB8BE-BAA0-45CB-9F2C-6DBF3601AE8DQ83781767-18AEE5F1-5741-4030-8E16-0789053C00DB
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Petr Pancoska
@ast
Petr Pancoska
@en
Petr Pancoska
@es
Petr Pancoska
@nl
Petr Pancoska
@sl
type
label
Petr Pancoska
@ast
Petr Pancoska
@en
Petr Pancoska
@es
Petr Pancoska
@nl
Petr Pancoska
@sl
prefLabel
Petr Pancoska
@ast
Petr Pancoska
@en
Petr Pancoska
@es
Petr Pancoska
@nl
Petr Pancoska
@sl
P106
P31
P496
0000-0002-6724-8559