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Advances in the development of shape similarity methods and their application in drug discovery
A Kumar, KYJ Zhang - Frontiers in chemistry, 2018 - frontiersin.org
Molecular similarity is a key concept in drug discovery. It is based on the assumption that
structurally similar molecules frequently have similar properties. Assessment of similarity …
structurally similar molecules frequently have similar properties. Assessment of similarity …
Advances and pitfalls of protein structural alignment
H Hasegawa, L Holm - Current opinion in structural biology, 2009 - Elsevier
Structure comparison opens a window into the distant past of protein evolution, which has
been unreachable by sequence comparison alone. With 55000 entries in the Protein Data …
been unreachable by sequence comparison alone. With 55000 entries in the Protein Data …
Protein interface prediction using graph convolutional networks
A Fout, J Byrd, B Shariat… - Advances in neural …, 2017 - proceedings.neurips.cc
We consider the prediction of interfaces between proteins, a challenging problem with
important applications in drug discovery and design, and examine the performance of …
important applications in drug discovery and design, and examine the performance of …
Real-time structure search and structure classification for AlphaFold protein models
Last year saw a breakthrough in protein structure prediction, where the AlphaFold2 method
showed a substantial improvement in the modeling accuracy. Following the software release …
showed a substantial improvement in the modeling accuracy. Following the software release …
Protein-protein docking using region-based 3D Zernike descriptors
Background Protein-protein interactions are a pivotal component of many biological
processes and mediate a variety of functions. Knowing the tertiary structure of a protein …
processes and mediate a variety of functions. Knowing the tertiary structure of a protein …
Antibody interface prediction with 3D Zernike descriptors and SVM
Motivation Antibodies are a class of proteins capable of specifically recognizing and binding
to a virtually infinite number of antigens. This binding malleability makes them the most …
to a virtually infinite number of antigens. This binding malleability makes them the most …
[HTML][HTML] An overview of descriptors to capture protein properties–Tools and perspectives in the context of QSAR modeling
J Emonts, JF Buyel - Computational and structural biotechnology journal, 2023 - Elsevier
Proteins are important ingredients in food and feed, they are the active components of many
pharmaceutical products, and they are necessary, in the form of enzymes, for the success of …
pharmaceutical products, and they are necessary, in the form of enzymes, for the success of …
Molecular surface representation using 3D Zernike descriptors for protein shape comparison and docking
The tertiary structures of proteins have been solved in an increasing pace in recent years. To
capitalize the enormous efforts paid for accumulating the structure data, efficient and …
capitalize the enormous efforts paid for accumulating the structure data, efficient and …
[HTML][HTML] LIDeB Tools: A Latin American resource of freely available, open-source cheminformatics apps
Cheminformatics is the chemical field that deals with the storage, retrieval, analysis and
manipulation of an increasing volume of available chemical data, and it plays a fundamental …
manipulation of an increasing volume of available chemical data, and it plays a fundamental …
Potential for protein surface shape analysis using spherical harmonics and 3D Zernike descriptors
With structure databases expanding at a rapid rate, the task at hand is to provide reliable
clues to their molecular function and to be able to do so on a large scale. This, however …
clues to their molecular function and to be able to do so on a large scale. This, however …