Results 261 to 270 of about 27,951,681 (317)

The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells

FEBS Open Bio, EarlyView.
We performed nanopore whole‐transcriptome sequencing comparing RNA from Hnrnpl‐knockdown versus control C2C12 myoblasts to investigate the contributions of Hnrnpl to muscle development. Our results indicate that Hnrnpl regulates the expression of genes involved with Notch signaling and skeletal muscle, particularly splicing patterns of specific muscle ...
Hannah R. Littel, Mekala Gunasekaran, Audrey L. Daugherty, Natalya M. Wells, Johnnie Turner, Christine C. Bruels, Christina A. Pacak, Isabelle Draper, Peter B. Kang   +8 more
wiley   +1 more source

Deep Learning Model-Based Architectures for Lung Tumor Mutation Profiling: A Systematic Review. [PDF]

Cancers (Basel)
Ortuño-Miquel S, Roca R, Alenda C, Aranda F, Martínez-Banaclocha N, Amador S, Gil D.   +6 more
europepmc   +1 more source

Measuring Chemical LLM robustness to molecular representations: a SMILES variation-based framework. [PDF]

J Cheminform
Ganeeva V, Khrabrov K, Kadurin A, Tutubalina E.   +3 more
europepmc   +1 more source

Beyond Tanimoto: a learned bioactivity similarity index enhances ligand discovery. [PDF]

Front Bioinform
Schottlender G, Prieto JM, Marti MA, Fernández Do Porto D.   +3 more
europepmc   +1 more source

Leveraging quantum chemical properties in transfer learning for predicting blood-brain barrier permeability of drugs. [PDF]

Drug Deliv Transl Res
Lim MA, Yonk MG, Hoang KB, Molinaro AM, Raj M, Du Y, Boulis NM, Hassaneen W, Lei K.   +8 more
europepmc   +1 more source

TRANSPIRE-DRP: a deep learning framework for translating patient-derived xenograft drug response to clinical patients via domain adaptation. [PDF]

J Transl Med
Yang J, Wu T, Xue F, Gong J, Niu X.
europepmc   +1 more source

The role of bioinformatics algorithms in modern biopharmaceutical design: Progress, challenges, and future perspectives. [PDF]

Bioimpacts
Pourseif MM, Baradaran Hosseini SA, Khoshraftar SH, Omidi Y.   +3 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Generative models for molecular discovery: Recent advances and challenges

WIREs Computational Molecular Science, 2022
Development of new products often relies on the discovery of novel molecules. While conventional molecular design involves using human expertise to propose, synthesize, and test new molecules, this process can be cost and time intensive, limiting the ...
Camille L. Bilodeau, Wengong Jin, T. Jaakkola, R. Barzilay, K. Jensen   +4 more
semanticscholar   +1 more source