Results 81 to 90 of about 827,340 (267)
Impact of Multi-Factor Features on Protein Secondary Structure Prediction
Protein secondary structure prediction (PSSP) plays a crucial role in resolving protein functions and properties. Significant progress has been made in this field in recent years, and the use of a variety of protein-related features, including amino acid
Benzhi Dong+5 more
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Protein Secondary Structure Prediction
{"references": ["Cuff, J. A. and Barton, G.J. \"Evaluation and improvement of multiple\nsequence methods for protein secondary structure prediction. Proteins,\n34, 1999, pp. 508-519.", "Cuff, J.A. and Barton G.J. \"Application of multiple sequence alignment\nprofiles to improve protein secondary structure prediction\" Proteins, 40,\n2000, pp. 502-511.",
Manpreet Singh+2 more
openaire +2 more sources
Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM
CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak+14 more
wiley +1 more source
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini+10 more
wiley +1 more source
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley +1 more source
A dynamic Bayesian network approach to protein secondary structure prediction
Background Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful information relevant to sequence-structure relationship.
Zhu Huaiqiu, Yao Xin-Qiu, She Zhen-Su
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Solvent Effects on the Secondary Structures of Proteins
We examined the effect of solvation on the conformational preferences (e.g., α-helix versus β-sheet) of tripeptides using ab initio quantum mechanics (Hartree−Fock 6-31G**) with solvation in the Poisson−Boltzmann continuum solvent approximation. We find that aqueous solvent preferentially stabilizes the α-helix conformation over β-sheet conformations ...
Park, Changmoon+2 more
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TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair+17 more
wiley +1 more source
Fourier Analysis of Conservation Patterns in Protein Secondary Structure
Residue conservation is a common observation in alignments of protein families, underscoring positions important in protein structure and function. Though many methods measure the level of conservation of particular residue positions, currently we do not
Ashok Palaniappan, Eric Jakobsson
doaj
A Simple Comparison between Specific Protein Secondary Structure Prediction Tools
A comparative evaluation of five widely used protein secondary structure prediction programs available in World Wide Web was carried out. Secondary structure data of ten proteins containing 190 secondary structure motifs were collected from Protein Data ...
TJ Koswatta+2 more
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