Small-molecule drug discovery in triple negative breast cancer: current situation and future directions

M Liao, J Zhang, G Wang, L Wang, J Liu… - Journal of medicinal …, 2021 - ACS Publications
Triple negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, but
an effective targeted therapy has not been well-established so far. Considering the lack of …

Medicinal chemistry approaches of poly ADP-Ribose polymerase 1 (PARP1) inhibitors as anticancer agents-A recent update

PG Jain, BD Patel - European journal of medicinal chemistry, 2019 - Elsevier
Abstract Poly (ADP-ribose) Polymerase1 (PARP1) is a member of 17 membered PARP
family having diversified biological functions such as synthetic lethality, DNA repair …

AutoGrow4: an open-source genetic algorithm for de novo drug design and lead optimization

JO Spiegel, JD Durrant - Journal of cheminformatics, 2020 - Springer
We here present AutoGrow4, an open-source program for semi-automated computer-aided
drug discovery. AutoGrow4 uses a genetic algorithm to evolve predicted ligands on demand …

Selective PARP1 inhibitors, PARP1-based dual-target inhibitors, PROTAC PARP1 degraders, and prodrugs of PARP1 inhibitors for cancer therapy

X Peng, W Pan, F Jiang, W Chen, Z Qi, W Peng… - Pharmacological …, 2022 - Elsevier
Poly ADP-ribose polymerase (PARP) plays a critical role in many cellular processes such as
DNA damage repair, gene transcription and cell apoptosis. Therefore, targeting PARP …

Targeting LC3 and Beclin-1 autophagy genes suppresses proliferation, survival, migration and invasion by inhibition of Cyclin-D1 and uPAR/Integrin β1/Src signaling …

Z Hamurcu, N Delibaşı, S Geçene, EF Şener… - Journal of cancer …, 2018 - Springer
Autophagy is a catabolic process for degrading dysfunctional proteins and organelles, and
closely associated with cancer cell survival under therapeutic, metabolic stress, hypoxia …

Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors

W Jeon, D Kim - Scientific reports, 2020 - nature.com
We developed a computational method named Molecule Optimization by Reinforcement
Learning and Docking (MORLD) that automatically generates and optimizes lead …

A drug design strategy based on molecular docking and molecular dynamics simulations applied to development of inhibitor against triple-negative breast cancer by …

S Akash, FI Aovi, MAK Azad, A Kumer, U Chakma… - Plos one, 2023 - journals.plos.org
Triple-negative breast cancer (TNBC), accounting for 10–15% of all breast malignancies, is
more prevalent in women under 40, particularly in those of African descent or carrying the …

PARP1 in carcinomas and PARP1 inhibitors as antineoplastic drugs

L Wang, C Liang, F Li, D Guan, X Wu, X Fu… - International journal of …, 2017 - mdpi.com
Poly (ADP-ribose) polymerase 1 (PARP1), the best-studied isoform of the nuclear enzyme
PARP family, plays a pivotal role in cellular biological processes, such as DNA repair, gene …

[HTML][HTML] Design, synthesis, and biological evaluation of quinazolin-4 (3H)-one derivatives co-targeting poly (ADP-ribose) polymerase-1 and bromodomain containing …

X Chang, D Sun, D Shi, G Wang, Y Chen… - … Pharmaceutica Sinica B, 2021 - Elsevier
This study was aimed to design the first dual-target small-molecule inhibitor co-targeting
poly (ADP-ribose) polymerase-1 (PARP1) and bromodomain containing protein 4 (BRD4) …

ACID: a free tool for drug repurposing using consensus inverse docking strategy

F Wang, FX Wu, CZ Li, CY Jia, SW Su, GF Hao… - Journal of …, 2019 - Springer
Drug repurposing offers a promising alternative to dramatically shorten the process of
traditional de novo development of a drug. These efforts leverage the fact that a single …