Results 31 to 40 of about 2,795,372 (389)

A Comprehensive Survey of Prospective Structure-Based Virtual Screening for Early Drug Discovery in the Past Fifteen Years

open access: yesInternational Journal of Molecular Sciences, 2022
Structure-based virtual screening (SBVS), also known as molecular docking, has been increasingly applied to discover small-molecule ligands based on the protein structures in the early stage of drug discovery.
Huilin Zhu   +3 more
semanticscholar   +1 more source

Structure-Based Virtual Screening: From Classical to Artificial Intelligence

open access: yesFrontiers in Chemistry, 2020
The drug development process is a major challenge in the pharmaceutical industry since it takes a substantial amount of time and money to move through all the phases of developing of a new drug.
Eduardo H. B. Maia   +4 more
semanticscholar   +1 more source

Drugs repurposed for COVID-19 by virtual screening of 6,218 drugs and cell-based assay

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2021
Significance Recent spread of SARS-CoV-2 has sparked significant health concerns of emerging infectious viruses. Drug repurposing is a tangible strategy for developing antiviral agents within a short period.
W. Jang   +3 more
semanticscholar   +1 more source

Ligand-based virtual screening using binary kernel discrimination [PDF]

open access: yes, 2005
This paper discusses the use of a machine-learning technique called binary kernel discrimination (BKD) for virtual screening in drug- and pesticide-discovery programmes.
Beining Chen   +14 more
core   +1 more source

Inhibitors of Helicobacter pylori protease HtrA found by 'virtual ligand' screening combat bacterial invasion of epithelia. [PDF]

open access: yesPLoS ONE, 2011
BackgroundThe human pathogen Helicobacter pylori (H. pylori) is a main cause for gastric inflammation and cancer. Increasing bacterial resistance against antibiotics demands for innovative strategies for therapeutic intervention.Methodology/principal ...
Martin Löwer   +5 more
doaj   +1 more source

A Novel Scoring Based Distributed Protein Docking Application to Improve Enrichment [PDF]

open access: yes, 2015
Molecular docking is a computational technique which predicts the binding energy and the preferred binding mode of a ligand to a protein target. Virtual screening is a tool which uses docking to investigate large chemical libraries to identify ligands ...
Merrill, Stephen   +4 more
core   +2 more sources

Prediction of the SARS-CoV-2 (2019-nCoV) 3C-like protease (3CL pro) structure: virtual screening reveals velpatasvir, ledipasvir, and other drug repurposing candidates

open access: yesF1000Research, 2020
We prepared the three-dimensional model of the SARS-CoV-2 (aka 2019-nCoV) 3C-like protease (3CL pro) using the crystal structure of the highly similar (96% identity) ortholog from the SARS-CoV.
Yu Wai Chen, C. Yiu, Kwok‐yin Wong
semanticscholar   +1 more source

Deep Learning in Virtual Screening: Recent Applications and Developments

open access: yesInternational Journal of Molecular Sciences, 2021
Drug discovery is a cost and time-intensive process that is often assisted by computational methods, such as virtual screening, to speed up and guide the design of new compounds.
Talia B. Kimber   +2 more
semanticscholar   +1 more source

A Ligand-Based Virtual Screening Method Using Direct Quantification of Generalization Ability

open access: yesMolecules, 2019
Machine learning plays an important role in ligand-based virtual screening. However, conventional machine learning approaches tend to be inefficient when dealing with such problems where the data are imbalanced and features describing the chemical ...
Weixing Dai, Dianjing Guo
doaj   +1 more source

Accelerating high-throughput virtual screening through molecular pool-based active learning [PDF]

open access: yesChemical Science, 2020
Structure-based virtual screening is an important tool in early stage drug discovery that scores the interactions between a target protein and candidate ligands.
David E. Graff   +2 more
semanticscholar   +1 more source

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