Results 191 to 200 of about 27,951,681 (317)
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.
K. Tamura +3 more
semanticscholar +1 more source
Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source
Comparative Study of Molecular Descriptors and AI-Based Embeddings for Toxicity Prediction. [PDF]
Gray M, Wu L.
europepmc +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
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 +13 more
wiley +1 more source
Deep Generative AI for Multi-Target Therapeutic Design: Toward Self-Improving Drug Discovery Framework. [PDF]
Kang SI, Shin JH, Wu BM, Choi HS.
europepmc +1 more source
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 more
wiley +1 more source
Visualizing mechanistic models by integrating site-specific molecular details into reaction networks. [PDF]
Vasilescu D +3 more
europepmc +1 more source
Deep Generative Models for Molecular Science
P. B. Jørgensen +2 more
semanticscholar +1 more source
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 +3 more
wiley +1 more source

