Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery
ABSTRACT Introduction Protein-protein interactions (PPIs) have been often considered
undruggable targets although they are attractive for the discovery of new therapeutics. The …
undruggable targets although they are attractive for the discovery of new therapeutics. The …
Modelling peptide–protein complexes: docking, simulations and machine learning
Peptides mediate up to 40% of protein interactions, their high specificity and ability to bind in
places where small molecules cannot make them potential drug candidates. However …
places where small molecules cannot make them potential drug candidates. However …
A manager's guide to using eDNA metabarcoding in marine ecosystems
Environmental DNA (eDNA) metabarcoding is a powerful tool that can enhance marine
ecosystem/biodiversity monitoring programs. Here we outline five important steps managers …
ecosystem/biodiversity monitoring programs. Here we outline five important steps managers …
Target-Specific De Novo Peptide Binder Design with DiffPepBuilder
Despite the exciting progress in target-specific de novo protein binder design, peptide
binder design remains challenging due to the flexibility of peptide structures and the scarcity …
binder design remains challenging due to the flexibility of peptide structures and the scarcity …
Full-atom peptide design with geometric latent diffusion
Peptide design plays a pivotal role in therapeutics, allowing brand new possibility to
leverage target binding sites that are previously undruggable. Most existing methods are …
leverage target binding sites that are previously undruggable. Most existing methods are …
Propedia v2. 3: A novel representation approach for the peptide-protein interaction database using graph-based structural signatures
Propedia is a web database of peptide-protein interactions, which introduced a clustering
approach based on three methods:(i) sequences,(ii) structure interface, and (iii) binding …
approach based on three methods:(i) sequences,(ii) structure interface, and (iii) binding …
An approach for engineering peptides for competitive inhibition of the sars-cov-2 spike protein
AP de Abreu, FC Carvalho, D Mariano, LL Bastos… - Molecules, 2024 - mdpi.com
SARS-CoV-2 is the virus responsible for a respiratory disease called COVID-19 that
devastated global public health. Since 2020, there has been an intense effort by the …
devastated global public health. Since 2020, there has been an intense effort by the …
Growing ecosystem of deep learning methods for modeling protein–protein interactions
JR Rogers, G Nikolényi… - … Engineering, Design and …, 2023 - academic.oup.com
Numerous cellular functions rely on protein–protein interactions. Efforts to comprehensively
characterize them remain challenged however by the diversity of molecular recognition …
characterize them remain challenged however by the diversity of molecular recognition …
Design of peptide-based protein degraders via contrastive deep learning
Therapeutic modalities targeting pathogenic proteins are the gold standard of treatment for
multiple disease indications. Unfortunately, a significant portion of these proteins are …
multiple disease indications. Unfortunately, a significant portion of these proteins are …