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
Protein structure prediction: conventional and deep learning perspectives
Protein structure prediction is a way to bridge the sequence-structure gap, one of the main
challenges in computational biology and chemistry. Predicting any protein's accurate …
challenges in computational biology and chemistry. Predicting any protein's accurate …
Bacilli-Mediated Degradation of Xenobiotic Compounds and Heavy Metals
PK Arora - Frontiers in Bioengineering and Biotechnology, 2020 - frontiersin.org
Xenobiotic compounds are man-made compounds and widely used in dyes, drugs,
pesticides, herbicides, insecticides, explosives, and other industrial chemicals. These …
pesticides, herbicides, insecticides, explosives, and other industrial chemicals. These …
Dickkopf-1: a promising target for cancer immunotherapy
HY Chu, Z Chen, L Wang, ZK Zhang, X Tan… - Frontiers in …, 2021 - frontiersin.org
Clinical studies in a range of cancers have detected elevated levels of the Wnt antagonist
Dickkopf-1 (DKK1) in the serum or tumors of patients, and this was frequently associated …
Dickkopf-1 (DKK1) in the serum or tumors of patients, and this was frequently associated …
Processing of NODULE INCEPTION controls the transition to nitrogen fixation in root nodules
Legume nodules create an environment for intracellular bacterial symbionts to fix
atmospheric nitrogen. The master regulator NODULE INCEPTION (NIN) controls many …
atmospheric nitrogen. The master regulator NODULE INCEPTION (NIN) controls many …
[HTML][HTML] Affinity maturation of antibody fragments: A review encompassing the development from random approaches to computational rational optimization
J Li, G Kang, J Wang, H Yuan, Y Wu, S Meng… - International journal of …, 2023 - Elsevier
Routinely screened antibody fragments usually require further in vitro maturation to achieve
the desired biophysical properties. Blind in vitro strategies can produce improved ligands by …
the desired biophysical properties. Blind in vitro strategies can produce improved ligands by …
[HTML][HTML] Recent progress in machine learning-based methods for protein fold recognition
Knowledge on protein folding has a profound impact on understanding the heterogeneity
and molecular function of proteins, further facilitating drug design. Predicting the 3D …
and molecular function of proteins, further facilitating drug design. Predicting the 3D …
[HTML][HTML] VHH Structural Modelling Approaches: A Critical Review
VHH, ie, VH domains of camelid single-chain antibodies, are very promising therapeutic
agents due to their significant physicochemical advantages compared to classical …
agents due to their significant physicochemical advantages compared to classical …
Characterization of the NiRAN domain from RNA-dependent RNA polymerase provides insights into a potential therapeutic target against SARS-CoV-2
Apart from the canonical fingers, palm and thumb domains, the RNA dependent RNA
polymerases (RdRp) from the viral order Nidovirales possess two additional domains. Of …
polymerases (RdRp) from the viral order Nidovirales possess two additional domains. Of …
ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles
Protein structure prediction based on comparative modeling is the most efficient way to
produce structural models when it can be performed. ORION is a dedicated webserver …
produce structural models when it can be performed. ORION is a dedicated webserver …
PBxplore: a tool to analyze local protein structure and deformability with Protein Blocks
This paper describes the development and application of a suite of tools, called PBxplore, to
analyze the dynamics and deformability of protein structures using Protein Blocks (PBs) …
analyze the dynamics and deformability of protein structures using Protein Blocks (PBs) …