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Computational approaches streamlining drug discovery
Computer-aided drug discovery has been around for decades, although the past few years
have seen a tectonic shift towards embracing computational technologies in both academia …
have seen a tectonic shift towards embracing computational technologies in both academia …
Before and after AlphaFold2: An overview of protein structure prediction
Three-dimensional protein structure is directly correlated with its function and its
determination is critical to understanding biological processes and addressing human …
determination is critical to understanding biological processes and addressing human …
AI-based structure prediction empowers integrative structural analysis of human nuclear pores
INTRODUCTION The eukaryotic nucleus protects the genome and is enclosed by the two
membranes of the nuclear envelope. Nuclear pore complexes (NPCs) perforate the nuclear …
membranes of the nuclear envelope. Nuclear pore complexes (NPCs) perforate the nuclear …
Sampling alternative conformational states of transporters and receptors with AlphaFold2
Equilibrium fluctuations and triggered conformational changes often underlie the functional
cycles of membrane proteins. For example, transporters mediate the passage of molecules …
cycles of membrane proteins. For example, transporters mediate the passage of molecules …
Modeling conformational states of proteins with AlphaFold
Many proteins exert their function by switching among different structures. Knowing the
conformational ensembles affiliated with these states is critical to elucidate key mechanistic …
conformational ensembles affiliated with these states is critical to elucidate key mechanistic …
[HTML][HTML] Revolutionizing medicinal chemistry: the application of artificial intelligence (AI) in early drug discovery
Artificial intelligence (AI) has permeated various sectors, including the pharmaceutical
industry and research, where it has been utilized to efficiently identify new chemical entities …
industry and research, where it has been utilized to efficiently identify new chemical entities …
Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data
Leveraging iterative alignment search through genomic and metagenome sequence
databases, we report the DeepMSA2 pipeline for uniform protein single-and multichain …
databases, we report the DeepMSA2 pipeline for uniform protein single-and multichain …
SPEACH_AF: Sampling protein ensembles and conformational heterogeneity with Alphafold2
RA Stein, HS Mchaourab - PLOS Computational Biology, 2022 - journals.plos.org
The unprecedented performance of Deepmind's Alphafold2 in predicting protein structure in
CASP XIV and the creation of a database of structures for multiple proteomes and protein …
CASP XIV and the creation of a database of structures for multiple proteomes and protein …
When will RNA get its AlphaFold moment?
The protein structure prediction problem has been solved for many types of proteins by
AlphaFold. Recently, there has been considerable excitement to build off the success of …
AlphaFold. Recently, there has been considerable excitement to build off the success of …
Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning
While AlphaFold2 can predict accurate protein structures from the primary sequence,
challenges remain for proteins that undergo conformational changes or for which few …
challenges remain for proteins that undergo conformational changes or for which few …