98%
921
2 minutes
20
Background: Protein residue-residue contact prediction is important for protein model generation and model evaluation. Here we develop a conformation ensemble approach to improve residue-residue contact prediction. We collect a number of structural models stemming from a variety of methods and implementations. The various models capture slightly different conformations and contain complementary information which can be pooled together to capture recurrent, and therefore more likely, residue-residue contacts.
Results: We applied our conformation ensemble approach to free modeling targets from both CASP8 and CASP9. Given a diverse ensemble of models, the method is able to achieve accuracies of. 48 for the top L/5 medium range contacts and. 36 for the top L/5 long range contacts for CASP8 targets (L being the target domain length). When applied to targets from CASP9, the accuracies of the top L/5 medium and long range contact predictions were. 34 and. 30 respectively.
Conclusions: When operating on a moderately diverse ensemble of models, the conformation ensemble approach is an effective means to identify medium and long range residue-residue contacts. An immediate benefit of the method is that when tied with a scoring scheme, it can be used to successfully rank models.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200154 | PMC |
http://dx.doi.org/10.1186/1472-6807-11-38 | DOI Listing |
Nucleic Acids Res
September 2025
Institute of Biophysics of the Czech Academy of Sciences, Královopolská 135, Brno 61200, Czech Republic.
RNA G-quadruplexes (rG4s) are emerging as vital structural elements involved in processes like gene regulation, translation, and genome stability. Found in untranslated regions of messenger RNAs (mRNAs), they influence translation efficiency and mRNA localization. Additionally, rG4s of long noncoding RNAs and telomeric RNA play roles in RNA processing and cellular aging.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
College of Agriculture and Biological Science, Dali University, Dali 671000, China.
The E76K mutation in protein tyrosine phosphatase (PTP) SHP2 is a recurrent driver of developmental disorders and cancers, yet the mechanism by which this single-site substitution promotes persistent activation remains elusive. Here, we combine path-based conformational sampling, unbiased molecular dynamics (MD) simulations, Markov state models (MSMs), and neural relational inference (NRI) to elucidate how E76K reshapes the activation landscape and regulatory architecture of SHP2. Using a minimum-action trajectory derived from experimentally determined closed and open structures, we generated representative transition intermediates to guide the unbiased MD simulations.
View Article and Find Full Text PDFMol Ther Nucleic Acids
September 2025
Department of Chemistry, University of Massachusetts, Lowell, MA 01854, USA.
We combined circular dichroism (CD) and viscosity measurements with molecular dynamics (MD) simulations and classification and regression approaches to machine learning to characterize solution structures of 22-mer, 25-mer, and 30-mer peptide- (-GlyArg6) conjugated phosphorodiamidate morpholino oligonucleotides (PPMOs). PPMO molecules form non-canonical folded structures with 1.4- to 1.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, U.K.
We present the protolysis-targeting chimera (PROTAC) Conformer Generator, a fast and knowledge-based tool for generating robust conformational ensembles of PROTACs and other chimeric degraders. The modeling protocol integrates conformer generation, rigid-body ternary complex (TC) assembly, and conformational sampling strategies that address the inherent flexibility and complexity of these molecules. Each modeled TC is evaluated using a clash-score and a surface-score, designed to prioritize sterically and geometrically plausible models with favorable protein surface interactions.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
Department of Physical Chemistry, University of Chemistry and Technology, Technická 5, 16628 Prague, Czech Republic.
In living organisms, proteins and peptides are often under the influence of mechanical forces, especially in confined spaces such as membrane channels, the ribosome exit tunnel, or the proteasome gate. Due to the directional nature of proteins as polymers with distinct ends, forces have the potential to influence protein conformational dynamics in a direction-dependent manner. In this study, we employed force-probe molecular dynamics simulations to investigate the impact of pulling a peptide through a confined environment pushing it in the same direction.
View Article and Find Full Text PDF