Results 141 to 150 of about 1,677,396 (366)

Structure-based prediction of protein-protein interaction network in rice

Genetics and Molecular Biology
Comprehensive protein-protein interaction (PPI) maps are critical for understanding the functional organization of the proteome, but challenging to produce experimentally.
Fangnan Sun, Yaxin Deng, Xiaosong Ma, Yuan Liu, Lingxia Zhao, Shunwu Yu, Lida Zhang   +6 more
doaj   +1 more source

In silico Sequence Analysis, Homology Modeling and Function Annotation of Ocimum basilicum Hypothetical Protein G1CT28_OCIBA [PDF]

International Journal Bioautomation, 2012
Ocimum basilicum is commonly known as sweet basil and belongs to the Lamiaceae Family. Ocimum basilicum has great therapeutic benefits and can be used for lowering blood pressure, as an antispasmodic as well as cleansing the blood.
Sobia Idrees, Shahid Nadeem, Samia Kanwal, Beenish Ehsan, Ayesha Yousaf, Sameera Nadeem, Muhammad Ibrahim Rajoka   +6 more
doaj  

Protein structure prediction by a data-level parallel algorithm [PDF]

, 1989
X. Zhang, David L. Waltz, Jill P. Mesirov   +2 more
openalex   +1 more source

Deep‐learning contact‐map guided protein structure prediction in CASP13

Proteins: Structure, Function, and Bioinformatics, 2019
We report the results of two fully automated structure prediction pipelines, “Zhang‐Server” and “QUARK”, in CASP13. The pipelines were built upon the C‐I‐TASSER and C‐QUARK programs, which in turn are based on I‐TASSER and QUARK but with three new ...
Wei Zheng, Yang Li, Yang Li, Chengxin Zhang, Robin Pearce, S. Mortuza, Yang Zhang   +6 more
semanticscholar   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Deep learning methods for protein structure prediction

MedComm – Future Medicine
Protein structure prediction (PSP) has been a prominent topic in bioinformatics and computational biology, aiming to predict protein function and structure from sequence data.
Yiming Qin, Zihan Chen, Ye Peng, Ying Xiao, Tian Zhong, Xi Yu   +5 more
doaj   +1 more source

Protein loop structure prediction by community-based deep learning and its application to antibody CDR H3 loop modeling.

PLoS Computational Biology
As of now, more than 60 years have passed since the first determination of protein structures through crystallography, and a significant portion of protein structures can be predicted by computers. This is due to the groundbreaking enhancement in protein
Hyeonuk Woo, Yubeen Kim, Chaok Seok
doaj   +1 more source

Landscape of BRAF transcript variants in human cancer

Molecular Oncology, EarlyView.
We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda, Danilo Tatoni, Gianluca Mattei, Alberto Magi, Romina D'Aurizio, Laura Poliseno   +5 more
wiley   +1 more source

BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra

Nucleic Acids Res., 2018
Circular dichroism (CD) spectroscopy is a widely used method to study the protein secondary structure. However, for decades, the general opinion was that the correct estimation of β-sheet content is challenging because of the large spectral and ...
András Micsonai, F. Wien, Éva Bulyáki, J. Kun, Éva Moussong, Young-Ho Lee, Y. Goto, M. Réfrégiers, J. Kardos   +8 more
semanticscholar   +1 more source

The anticancer effect of the HDAC inhibitor belinostat is enhanced by inhibitors of Bcl‐xL or Mcl‐1 in ovarian cancer

Molecular Oncology, EarlyView.
The pan‐HDAC inhibitor belinostat increases the expression of the pro‐apoptotic proteins Bim, Puma, and Noxa and induces apoptosis in ovarian cancer cell lines and patient‐derived tumor organoids when used at high concentrations. Moreover, inhibiting the anti‐apoptotic proteins Bcl‐xL or Mcl‐1 sensitizes these preclinical models to the cytotoxic effect
Cécilia Thomine, Sterenn Guillemot, Louis‐Bastien Weiswald, Romane Florent, Edwige Abeilard, Florence Giffard, Emilie Brotin, Mélanie Briand, Enora Dolivet, Laurent Poulain, Marie Villedieu   +10 more
wiley   +1 more source