ReviewMolecules (Basel, Switzerland)2020
How Computational Chemistry and Drug Delivery Techniques Can Support the Development of New Anticancer Drugs.
Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed, 35 citations in OpenAlex.
- Computational Innovations in Cancer Research and How Computing is Transforming Drug Discovery and Development: A Review.Mini reviews in medicinal chemistry · 2026Review
- Anticancer and Anti-Inflammatory Effects of Benzothiazole Derivatives Targeting NF-κB/COX-2/iNOS in a Hepatocellular Carcinoma Cell Line.Turkish journal of pharmaceutical sciences · 2025Article
- Computational prediction of multiple antigen epitopes.Bioinformatics (Oxford, England) · 2024Article
- Synthesis, Computational, and Anticancer In Vitro Investigations of Aminobenzylnaphthols Derived from 2-Naphtol, Benzaldehydes, and α-Aminoacids via the Betti Reaction.Molecules (Basel, Switzerland) · 2023Article
- Identification of phytocompounds from Houttuynia cordata Thunb. as potential inhibitors for SARS-CoV-2 replication proteins through GC-MS/LC-MS characterization, molecular docking and molecular dynamics simulation.Molecular diversity · 2022Article
- Editorial: Computational Methods for the Description of Intermolecular Interactions and Molecular Motion in Confining Environments.Frontiers in chemistry · 2022Article
- In silico modeling of the interaction between TEX19 and LIRE1, and analysis of TEX19 gene missense SNPs.Molecular genetics & genomic medicine · 2021Article
- Current Trends and Challenges in Pharmacoeconomic Aspects of Nanocarriers as Drug Delivery Systems for Cancer Treatment.International journal of nanomedicine · 2021Review
- Advanced Computational Methodologies Used in the Discovery of New Natural Anticancer Compounds.Frontiers in pharmacology · 2021Review
- Anticancer peptide: Physicochemical property, functional aspect and trend in clinical application (Review).International journal of oncology · 2020Review
- COVID-19: Rational discovery of the therapeutic potential of Melatonin as a SARS-CoV-2 main Protease Inhibitor.International journal of medical sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The early and late development of new anticancer drugs, small molecules or peptides can be slowed down by some issues such as poor selectivity for the target or poor ADME properties. Computer-aided drug design (CADD) and target drug delivery (TDD) techniques, although apparently far from each other, are two research fields that can give a significant contribution to overcome these problems. Their combination may provide mechanistic understanding resulting in a synergy that makes possible the rational design of novel anticancer based therapies. Herein, we aim to discuss selected applications, some also from our research experience, in the fields of anticancer small organic drugs and peptides.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.