Results 111 to 120 of about 657,944 (323)

Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics [PDF]

, 2023
Soumen Pal, Manojit Bhattacharya, Sang‐Soo Lee, Chiranjib Chakraborty   +3 more
openalex   +1 more source

Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells

Molecular Oncology, EarlyView.
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son, Lily L. Remsing Rix, Bin Fang, Eric A. Welsh, Nicole V. Bremer, Valentina Foglizzo, Paola Roa, Nickole Sigcha‐Coello, Yi Liao, Eric B. Haura, Alexander Drilon, John M. Koomen, Emiliano Cocco, Uwe Rix   +13 more
wiley   +1 more source

Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models

IET Systems Biology
Antibiotic pollution in the environment can significantly impact soil microorganisms, such as altering the soil microbial community or emerging antibiotic‐resistant bacteria.
Yiheng Du, Khandaker Asif Ahmed, Md Rakibul Hasan, Md Zakir Hossain   +3 more
doaj   +1 more source

Cis‐regulatory and long noncoding RNA alterations in breast cancer – current insights, biomarker utility, and the critical need for functional validation

Molecular Oncology, EarlyView.
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués, Aracele Martinez‐Mendez, John Crown, Alex Eustace   +3 more
wiley   +1 more source

Proteins Combined Score Prediction Based on Improved Gene Expression Programming Algorithm and Protein–Protein Interaction Network Characterization

IET Systems Biology
Predicting the combined score in protein–protein interaction (PPI) networks represents a critical research focus in bioinformatics, as it contributes to enhancing the accuracy of PPI data and uncovering the inherent complexity of biological systems ...
Sicong Huo, Pengying Deng, Jie Zhou, Tao Lu, Qingnian Li, Xiaowei Wang   +5 more
doaj   +1 more source

The International Conference on Intelligent Biology and Medicine (ICIBM) 2019: bioinformatics methods and applications for human diseases

BMC Bioinformatics, 2019
Between June 9–11, 2019, the International Conference on Intelligent Biology and Medicine (ICIBM 2019) was held in Columbus, Ohio, USA. The conference included 12 scientific sessions, five tutorials or workshops, one poster session, four keynote talks ...
Zhongming Zhao, Yulin Dai, Chi Zhang, Ewy Mathé, Lai Wei, Kai Wang   +5 more
doaj   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Pan‐Cancer Integrative Analyses Reveal the Crosstalk Between the Intratumoral Microbiome, TP53 Mutation and Tumour Microenvironment

IET Systems Biology
Accumulating evidence suggests that the TP53 mutation, intratumoral microbiome, and tumour microenvironment (TME) are closely linked to tumourigenesis, yet the biological mechanisms underlying these connections remain unclear.
Baoling Wang, Bo Zhang, Chun Li
doaj   +1 more source

On Implementing Technomorph Biology for Inefficient Computing

Applied Sciences
It is commonly accepted that ‘the brain computes’ and that it serves as a model for establishing principles of technical (first of all, electronic) computing.
János Végh
doaj   +1 more source

Quantum inspired improved AI computing for the sensors of cardiac mechano-biology

, 2022
Ayesha Sohail, Usman Ashiq
openalex   +1 more source