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Traditional and novel computer-aided drug design (CADD) approaches in the anticancer drug discovery process
N del Carmen Quintal Bojórquez… - Current Cancer Drug …, 2023 - benthamdirect.com
Background: In the last decade, cancer has been a leading cause of death worldwide.
Despite the impressive progress in cancer therapy, firsthand treatments are not selective to …
Despite the impressive progress in cancer therapy, firsthand treatments are not selective to …
Identification of key interactions between SARS-CoV-2 main protease and inhibitor drug candidates
R Yoshino, N Yasuo, M Sekijima - Scientific reports, 2020 - nature.com
The number of cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
infection (COVID-19) has reached over 114,000. SARS-CoV-2 caused a pandemic in …
infection (COVID-19) has reached over 114,000. SARS-CoV-2 caused a pandemic in …
Improved method of structure-based virtual screening via interaction-energy-based learning
N Yasuo, M Sekijima - Journal of chemical information and …, 2019 - ACS Publications
Virtual screening is a promising method for obtaining novel hit compounds in drug
discovery. It aims to enrich potentially active compounds from a large chemical library for …
discovery. It aims to enrich potentially active compounds from a large chemical library for …
Iev2mol: Molecular generative model considering protein–ligand interaction energy vectors
M Ozawa, S Nakamura, N Yasuo… - Journal of Chemical …, 2024 - ACS Publications
Generating drug candidates with desired protein–ligand interactions is a significant
challenge in structure-based drug design. In this study, a new generative model, IEV2Mol, is …
challenge in structure-based drug design. In this study, a new generative model, IEV2Mol, is …
Screening for inhibitors of main protease in SARS-CoV-2: in silico and in vitro approach avoiding peptidyl secondary amides
KZ Yamamoto, N Yasuo, M Sekijima - Journal of Chemical …, 2022 - ACS Publications
In addition to vaccines, antiviral drugs are essential for suppressing COVID-19. Although
several inhibitor candidates were reported for SARS-CoV-2 main protease, most are highly …
several inhibitor candidates were reported for SARS-CoV-2 main protease, most are highly …
Integrating Ligand and Target-Driven Based Virtual Screening Approaches With in vitro Human Cell Line Models and Time-Resolved Fluorescence Resonance …
Antiapoptotic members of B-cell leukemia/lymphoma-2 (BCL-2) family proteins are one of
the overexpressed proteins in cancer cells that are oncogenic targets. As such, targeting of …
the overexpressed proteins in cancer cells that are oncogenic targets. As such, targeting of …
Molecular dynamics simulation reveals the mechanism by which the influenza cap-dependent endonuclease acquires resistance against baloxavir marboxil
R Yoshino, N Yasuo, M Sekijima - Scientific reports, 2019 - nature.com
Baloxavir marboxil (BXM), an antiviral drug for influenza virus, inhibits RNA replication by
binding to RNA replication cap-dependent endonuclease (CEN) of influenza A and B …
binding to RNA replication cap-dependent endonuclease (CEN) of influenza A and B …
Computational approaches for identifying potential inhibitors on targeting protein interactions in drug discovery
In the era of big data, the interplay of artificial and human intelligence is the demanding job
to address the concerns involving exchange of decisions between both sides. Drug …
to address the concerns involving exchange of decisions between both sides. Drug …
Exploring the selectivity of inhibitor complexes with Bcl-2 and Bcl-XL: A molecular dynamics simulation approach
N Wakui, R Yoshino, N Yasuo, M Ohue… - Journal of Molecular …, 2018 - Elsevier
Abstract B-cell lymphoma 2 (Bcl-2) family proteins are potential drug targets in cancer and
have a relatively flat and flexible binding site. ABT-199 is one of the most promising selective …
have a relatively flat and flexible binding site. ABT-199 is one of the most promising selective …
MERMAID: an open source automated hit-to-lead method based on deep reinforcement learning
D Erikawa, N Yasuo, M Sekijima - Journal of Cheminformatics, 2021 - Springer
The hit-to-lead process makes the physicochemical properties of the hit molecules that show
the desired type of activity obtained in the screening assay more drug-like. Deep learning …
the desired type of activity obtained in the screening assay more drug-like. Deep learning …