Results 201 to 210 of about 105,757,333 (286)

Energy-based automatic determination of buffer region in the divide-and-conquer second-order Møller-Plesset perturbation theory. [PDF]

J Comput Chem, 2021
Fujimori T, Kobayashi M, Taketsugu T.
europepmc   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

Molecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu, Xixi Lin, Emil Mladenov, Veronika Mladenova, Jürgen Thomale, Ali Sak, Yao Wang, Yunxuan Deng, Eleni Gkika, Martin Stuschke, George Iliakis   +10 more
wiley   +1 more source

Divide-and-conquer strategy with engineered ossification center organoids for rapid bone healing through developmental cell recruitment. [PDF]

Nat Commun
Zhang X, Jiang W, Wu X, Xie C, Zhang Y, Li L, Gu Y, Hu Z, Zhai X, Liang R, Zhang T, Sun W, Ye J, Wei W, Wang X, Hong Y, Zhang S, Cai Y, Zou X, Hu Y, Ouyang H.   +20 more
europepmc   +1 more source

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

Molecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen, Kristiane Søreng, Chiara Veroni, Laura Trachsel‐Moncho, Nagham Asp, Robin Gaupset, Lars Gustav Lyckander, Helene Knævelsrud, Lars Eftang, Anne Simonsen   +9 more
wiley   +1 more source

A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification. [PDF]

PLoS One
Omnes L, Angel E, Bartet P, Radvanyi F, Tahi F.   +4 more
europepmc   +1 more source

ESR1 methylation and ESR1 mutations in circulating tumor cells (CTCs) and paired plasma‐cfDNA of advanced breast cancer patients: A feasibility proof‐of‐concept study

Molecular Oncology, EarlyView.
Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou, Athina Markou, Eleonora Nicolo, Mara S Serafini, Qiang Zhang, Youbin Zhang, Lorenzo Gerratana, Andrew A. Davis, Huiping Liu, William J Gradishar, Carolina Reduzzi, Massimo Cristofanilli, Evi Lianidou   +12 more
wiley   +1 more source

A Divide-and-Conquer Algorithm for Computing Voronoi Diagrams. [PDF]

IEEE Int Conf Electro Inf Technol, 2020
Smith E, Trefftz C, DeVries B.
europepmc   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Petal segmentation in CT images based on divide-and-conquer strategy. [PDF]

Front Plant Sci
Naka Y, Utsumi Y, Iwamura M, Tsukaya H, Kise K.   +4 more
europepmc   +1 more source

A Free-Energy Landscape Analysis of Calmodulin Obtained from an NMR Data-Utilized Multi-Scale Divide-and-Conquer Molecular Dynamics Simulation. [PDF]

Life (Basel), 2021
Shimoyama H, Shigeta Y.
europepmc   +1 more source