ArticlePharmaceutics2020
CancerGram: An Effective Classifier for Differentiating Anticancer from Antimicrobial Peptides.
Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- PepAnno: A structure-aware deep learning framework for bioactive peptide prediction, structural visualization, and physicochemical profiling.PLoS computational biology · 2026Article
- AttBiLSTM_DE: enhancing anticancer peptide prediction using word embedding and an optimized attention-based BiLSTM framework.Scientific reports · 2025Article
- Unveiling low-abundance ACE inhibitory peptides in not-from-concentrate orange juice processed by high-pressure processing and pasteurization.NPJ science of food · 2025Article
- Cationic antimicrobial peptide CC34 potential anticancer and apoptotic induction on cancer cells.Amino acids · 2025Article
- Structural information in therapeutic peptides: Emerging applications in biomedicine.FEBS open bio · 2025Review
- Cationic antimicrobial peptides: potential templates for anticancer agents.Frontiers in medicine · 2025Review
- Glioblastoma Multiforme: Sensitivity to Antimicrobial Peptides LL-37 and PG-1, and Their Combination with Chemotherapy for Predicting the Overall Survival of Patients.Pharmaceutics · 2024Article
- Jackfruit Leaf Protein Hydrolysates Obtained by Enzymatic Hydrolysis of Leaf Protein Concentrate with Pepsin and Pancreatin: Molecular Weight, Cytotoxicity, Antiproliferative Activity, and Oxidative Stress.Plant foods for human nutrition (Dordrecht, Netherlands) · 2024Article
- Peptidome Profiling ofAntibiotics (Basel, Switzerland) · 2024Article
- Immunomodulatory Peptides as Vaccine Adjuvants and Antimicrobial Agents.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Lactoferricin B Combined with Antibiotics Exhibits Leukemic Selectivity and Antimicrobial Activity.Molecules (Basel, Switzerland) · 2024Article
- Short Fragmented Peptides fromCurrent drug discovery technologies · 2024Article
- ALA-A2 Is a Novel Anticancer Peptide Inspired by Alpha-Lactalbumin: A Discovery from a Computational Peptide Library, In Silico Anticancer Peptide Screening and In Vitro Experimental Validation.Global challenges (Hoboken, NJ) · 2023Article
- Polypharmacological Cell-Penetrating Peptides from Venomous Marine Animals Based on Immunomodulating, Antimicrobial, and Anticancer Properties.Marine drugs · 2022Article
- Role of Anti-Cancer Peptides as Immunomodulatory Agents: Potential and Design Strategy.Pharmaceutics · 2022Review
- Mitochondria-Targeted Drug Delivery.Pharmaceutics · 2022Article
- The dynamic landscape of peptide activity prediction.Computational and structural biotechnology journal · 2022Review
- Antimicrobial Peptides: An Update on Classifications and Databases.International journal of molecular sciences · 2021Review
- Prediction of Anticancer Peptides with High Efficacy and Low Toxicity by Hybrid Model Based on 3D Structure of Peptides.International journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Antimicrobial peptides (AMPs) constitute a diverse group of bioactive molecules that provide multicellular organisms with protection against microorganisms, and microorganisms with weaponry for competition. Some AMPs can target cancer cells; thus, they are called anticancer peptides (ACPs). Due to their small size, positive charge, hydrophobicity and amphipathicity, AMPs and ACPs interact with negatively charged components of biological membranes. AMPs preferentially permeabilize microbial membranes, but ACPs additionally target mitochondrial and plasma membranes of cancer cells. The preference towards mitochondrial membranes is explained by their membrane potential, membrane composition resulting from α-proteobacterial origin and the fact that mitochondrial targeting signals could have evolved from AMPs. Taking into account the therapeutic potential of ACPs and millions of deaths due to cancer annually, it is of vital importance to find new cationic peptides that selectively destroy cancer cells. Therefore, to reduce the costs of experimental research, we have created a robust computational tool, CancerGram, that uses
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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.