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Heca Journal of Applied Sciences
Published by PT. Heca Sentra Analitika
ISSN : -     EISSN : 29879663     DOI : https://doi.org/10.60084/hjas
Core Subject : Health, Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Health Professions Medicine & Pharmacology
Heca Journal of Applied Sciences is a premier international scientific journal that publishes high quality original research articles, review articles, and case reports in the field of applied sciences. The journal mission is to encourage interdisciplinary research, promote knowledge sharing, and advance the development and application of innovative strategies. Heca Journal of Applied Scien is committed to excellence, relevance, and impact and provides a valuable resource for researchers, practitioners, and academics worldwide. Topics of this journal includes, but not limited to: Mathematics, Physics, Chemistry, Biology, Pharmacy, Informatics, Statistics, Marine Sciences, Fisheries Sciences, Veterinary Sciences, Medical Sciences, Nursing Sciences, Dentistry, Disaster Sciences, Environmental Sciences, Materials Science, Earth Sciences, Enviromental Sciences, Engineering, and Interdisciplinary research in the field of applied sciences.
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2025): March 2025" : 5 Documents clear
Network Pharmacology Insights into Broccoli Microgreens for Prostate Cancer Wijaya, Puspita; Tallei, Trina Ekawati; Tendean, Lydia Estelina Naomi; Fatimawali, Fatimawali; Turalaki, Grace Lendawati Amelia; Purwanto, Diana Shintawati
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.264

Abstract

Prostate cancer is a leading malignancy in men, ranking fourth globally and fifth in Indonesia (GLOBOCAN 2020). Conventional therapies, though available, are limited by high costs, side effects, and resistance, highlighting the need for accessible alternatives. Broccoli microgreens, rich in bioactive compounds, have shown potential in preventing and treating various cancers. This study hypothesized that bioactive compounds in broccoli microgreens interact with molecular targets involved in prostate cancer progression. To test this hypothesis, we employed a network pharmacology-based in silico approach to systematically explore these interactions and identify potential therapeutic mechanisms. Bioactive compounds in broccoli microgreens were identified using liquid chromatography-mass spectrometry (LC-MS) and analyzed via the PubChem database. The biological activities of these compounds were predicted using PASS Online, focusing on their capacity to modulate TP53 gene expression. Pharmacokinetic and toxicity evaluations were performed using ADMETLab 3.0 and Protox 3.0 to assess their safety and drug-like properties. Target proteins were identified through SwissTargetPrediction and GeneCards, while protein-protein interaction networks were constructed using STRING. The pharmacological network was visualized using Cytoscape to elucidate the molecular mechanisms of action. The analysis identified 528 relevant target proteins, with key roles attributed to SRC and EGFR, both critical in resistance to EGFR tyrosine kinase inhibitors and in regulating processes such as cell proliferation, apoptosis resistance, and metastatic potential. Through network pharmacology, bioactive compounds such as kaempferol and polydatin were identified as potential inhibitors of these targets, demonstrating their ability to modulate pathways essential to prostate cancer progression. In conclusion, broccoli microgreens contain bioactive compounds with potential pharmacological relevance for prostate cancer, particularly through their interaction with SRC and EGFR pathways, warranting further experimental validation.
Prostate Cancer Vaccines: Progress, Challenges, and Future Directions Runtunuwu, Stefanus Vicky Bernhard Elisa; Tallei, Trina Ekawati; Turalaki, Grace Lendawati Amelia
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.263

Abstract

Prostate cancer remains a major contributor to cancer-related deaths in men, with its incidence rising significantly with age. Conventional treatment modalities, including surgery, radiation therapy, hormonal therapy, and chemotherapy, often face limitations such as treatment resistance, disease recurrence, and considerable side effects. These challenges have sparked growing interest in novel approaches like immunotherapy, which leverages the immune system to combat cancer. Among these, vaccine-based immunotherapy has emerged as a promising strategy, aiming to generate precise immune responses against tumor-specific antigens. Advances in immunology, molecular targeting, and vaccine development have demonstrated encouraging results in terms of safety and immunogenicity. Nevertheless, obstacles such as tumor heterogeneity, immune escape mechanisms, and limited efficacy in advanced stages of the disease continue to hinder progress. The aim of this review is to examine the current landscape of prostate cancer vaccine development, with a focus on advancements in molecular target identification, optimization of vaccine technologies, and the evaluation of combination therapy strategies. Findings from clinical trials have shed light on both the opportunities and challenges of vaccine-based therapies. Synergistic approaches involving immune checkpoint inhibitors, radiotherapy, and androgen deprivation therapy have shown potential to amplify immune responses and mitigate resistance mechanisms. Additionally, emerging technologies such as bioinformatics and artificial intelligence are revolutionizing vaccine development by enabling the discovery of patient-specific neoantigens and the creation of tailored vaccine formulations. Despite these breakthroughs, achieving consistent therapeutic outcomes remains challenging, particularly in metastatic and castration-resistant cases. Future directions in the field include developing personalized cancer vaccines, adopting adaptive clinical trial designs, and employing innovative endpoints to streamline translation into clinical practice. In summary, while prostate cancer vaccine development has advanced significantly, addressing critical barriers like tumor heterogeneity and immune evasion and embracing emerging technologies are essential for optimizing personalized vaccines and improving treatment outcomes.
Enhancing TiO2 Photoelectrode Performance: The Role of La Doping Using the Sol-Gel Process Jannah, Mifthahul; Azmi, Nurul; Lala, Andi; Jalil, Zulkarnain; Mursal, Mursal
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.266

Abstract

Due to growing interest in renewable energy technologies, dye-sensitized solar cells (DSSCs) have emerged as promising alternatives to conventional photovoltaics. This study explores the enhancement of titanium dioxide (TiO2) photoelectrodes through doping with lanthanum (La), a rare earth element known for its ability to modify semiconductors' structural and electronic properties. La-doped TiO2 was synthesized using the sol-gel method with La concentrations ranging from 0 to 4 mol%. The resulting films were deposited onto substrates and sintered at 600 °C for 1 hour. Characterization techniques included X-ray diffraction (XRD), scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS), UV-Vis spectrophotometry, and Fourier-transform infrared spectroscopy (FTIR). XRD confirmed the anatase phase of TiO2 and the appearance of La2O₃ phases with doping. The smallest crystallite size (8.20 nm) and lowest bandgap energy (3.31 eV) were achieved at 1 mol% La, compared to 3.52 eV for undoped TiO2. SEM-EDS indicated uniform La distribution, while FTIR revealed changes in surface chemistry. These results suggest that La doping, particularly at 1 mol%, can effectively enhance the optical and structural properties of TiO2, making it a promising candidate for improved DSSC performance.
Predicting AXL Tyrosine Kinase Inhibitor Potency Using Machine Learning with Interpretable Insights for Cancer Drug Discovery Noviandy, Teuku Rizky; Idroes, Ghifari Maulana; Harnelly, Essy; Sari, Irma; Fauzi, Fazlin Mohd; Idroes, Rinaldi
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.270

Abstract

AXL tyrosine kinase plays a critical role in cancer progression, metastasis, and therapy resistance, making it a promising target for therapeutic intervention. However, traditional drug discovery methods for developing AXL inhibitors are resource-intensive, time-consuming, and often fail to provide detailed insights into molecular determinants of potency. To address this gap, we applied machine learning techniques, including Random Forest, Gradient Boosting, Support Vector Regression, and Decision Tree models, to predict the potency (pIC50) of AXL inhibitors using a dataset of 972 compounds with 550 molecular descriptors. Our results demonstrate that the Random Forest model outperformed others with an R² of 0.703, MAE of 0.553, RMSE of 0.720, and PCC of 0.841, showcasing strong predictive accuracy. SHAP analysis identified critical molecular features, such as RNCG and TopoPSA(NO), as key contributors to inhibitor potency, providing interpretable insights into structure-activity relationships. These findings highlight the potential of machine learning to accelerate the identification and optimization of AXL inhibitors, bridging the gap between computational predictions and rational drug design and paving the way for effective cancer therapeutics.
Developing a Smart Implementation Framework for Blockchain-Based P2P Renewable Energy Trading in Indonesia: A Qualitative Analysis Approach Ludji, Omrie; Yandri, Erkata; Sidharta, Rendy; Timba, Ayub; Amaral, Clizardo; Aryati, Ratna
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.273

Abstract

The shift towards decentralized and sustainable energy frameworks is progressively propelled by innovations in technology and the imperative for energy democratization. Blockchain technology is a viable approach for facilitating peer-to-peer (P2P) energy trading, thereby diminishing dependence on intermediaries while augmenting transparency, security, and efficiency within energy transactions. Nevertheless, the application of blockchain-enabled energy trading continues to be constrained in Indonesia due to regulatory, technical, and economic challenges. This study aims to develop a smart implementation framework for integrating blockchain into P2P renewable energy trading in Indonesia. A qualitative research approach is employed, incorporating content analysis and thematic analysis of policy documents, technical reports, and stakeholder interviews. A blockchain simulation model is also designed to evaluate feasibility, efficiency, and scalability. The findings highlight that blockchain can significantly enhance renewable energy adoption by facilitating direct energy exchanges among prosumers, improving grid resilience, and reducing transaction costs. The proposed framework outlines essential components such as smart contracts, digital tokens, decentralized ledgers, and regulatory compliance mechanisms. Case studies from global implementations, including Power Ledger in Australia and LO3 Energy in the U.S., demonstrate the viability of blockchain-based energy trading. The study concludes that while blockchain has strong potential to transform Indonesia’s energy landscape, successful implementation requires supportive policies, infrastructure investment, and public awareness. Future research should focus on optimizing smart contracts and developing consensus mechanisms tailored to Indonesia’s regulatory and market conditions.

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