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Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review
Computer-aided drug design (CADD) is one of the pivotal approaches to contemporary pre-
clinical drug discovery, and various computational techniques and software programs are …
clinical drug discovery, and various computational techniques and software programs are …
[HTML][HTML] Application of computational biology and artificial intelligence in drug design
Traditional drug design requires a great amount of research time and developmental
expense. Booming computational approaches, including computational biology, computer …
expense. Booming computational approaches, including computational biology, computer …
The HDOCK server for integrated protein–protein docking
Abstract The HDOCK server (http://hdock. phys. hust. edu. cn/) is a highly integrated suite of
homology search, template-based modeling, structure prediction, macromolecular docking …
homology search, template-based modeling, structure prediction, macromolecular docking …
Application of fragment-based drug discovery to versatile targets
Q Li - Frontiers in molecular biosciences, 2020 - frontiersin.org
Fragment-based drug discovery (FBDD) is a powerful method to develop potent small-
molecule compounds starting from fragments binding weakly to targets. As FBDD exhibits …
molecule compounds starting from fragments binding weakly to targets. As FBDD exhibits …
Supercomputer-based ensemble docking drug discovery pipeline with application to COVID-19
We present a supercomputer-driven pipeline for in silico drug discovery using enhanced
sampling molecular dynamics (MD) and ensemble docking. Ensemble docking makes use …
sampling molecular dynamics (MD) and ensemble docking. Ensemble docking makes use …
Identification of novel inhibitors for SARS-CoV-2 as therapeutic options using machine learning-based virtual screening, molecular docking and MD simulation
The new coronavirus SARS-COV-2, which emerged in late 2019 from Wuhan city of China
was regarded as causing agent of the COVID-19 pandemic. The primary protease which is …
was regarded as causing agent of the COVID-19 pandemic. The primary protease which is …
Computational approaches for the design of modulators targeting protein-protein interactions
ABSTRACT Background Protein-protein interactions (PPIs) are intriguing targets for
designing novel small-molecule inhibitors. The role of PPIs in various infectious and …
designing novel small-molecule inhibitors. The role of PPIs in various infectious and …
Current challenges and opportunities in designing protein–protein interaction targeted drugs
It has been noticed that the efficiency of drug development has been decreasing in the past
few decades. To overcome the situation, protein–protein interactions (PPIs) have been …
few decades. To overcome the situation, protein–protein interactions (PPIs) have been …
Reverse vaccinology approach to design a novel multi-epitope subunit vaccine against avian influenza A (H7N9) virus
H7N9, a novel strain of avian origin influenza was the first recorded incidence where a
human was transited by a N9 type influenza virus. Effective vaccination against influenza A …
human was transited by a N9 type influenza virus. Effective vaccination against influenza A …
Are we opening the door to a new era of medicinal chemistry or being collapsed to a chemical singularity? Perspective
The paradigm of “drug-like-ness” dramatically altered the behavior of the medicinal
chemistry community for a long time. In recent years, scientists have empirically found a …
chemistry community for a long time. In recent years, scientists have empirically found a …