Investigating the Prospects of ChatGPT in Training Medicinal Chemists and the Development of Novel Drugs by Michell O. Almeida, Artur C. G. Soares, Gustavo H. M. Sousa, Witor R. Ferraz, Gustavo Trossini

“…With careful and proper use, they can aid the scientific process with the potential to speed up drug discovery. …”
Get full text

Stem Cells as In Vitro Model of Parkinson's Disease by Patricia L. Martínez-Morales, Isabel Liste

“…The ability to generate induced pluripotent stem cells (iPSCs) from PD patients and a refined capacity to differentiate these iPSCs into DA neurons, the relevant disease cell type, promises a new paradigm in drug development that positions human disease pathophysiology at the core of preclinical drug discovery. Disease models derived from iPSC that manifest cellular disease phenotypes have been established for several monogenic diseases, but iPSC can likewise be used for phenotype-based drug screens in complex diseases for which the underlying genetic mechanism is unknown. …”
Get full text

An Effective Pipeline for Training Variational Autoencoders for Synthesizable and Optimized Molecular Design by Fardeen H. Mozumder, Byung-Jun Yoon

“…For example, when applied to drug discovery, one may want to optimize small molecules for higher affinity against a specific target, improved bioavailability, and solubility. …”
Get full text

Vibrio parahaemolyticus: Exploring its Incidence in Malaysia and the Potential of Streptomyces sp. as an Anti-Vibrio Agent by Ke-Yan Loo, Loh Teng-Hern Tan, Jodi Woan-Fei Law, Priyia Pusparajah, Sunny Hei Wong, Kok-Gan Chan, Learn-Han Lee, Vengadesh Letchumanan

“…., a class of filamentous, Gram-positive bacteria that produce a variety of bioactive compounds during their life cycle, which can be useful in drug discovery. The bioactive compounds produced by Streptomyces sp. have been proven to have microbiota-modulating and stimulatory effects on the host, enhancing immunity and providing protective effects against V. parahaemolyticus infections. …”
Get full text

Evaluation of anti-Bothrops asper venom activity of ethanolic extract of Brownea rosademonte leaves by Salazar Marcos, Chérigo Lilia, Acosta Hildaura, Otero Rafael, Martínez-Luis Sergio

Get full text

Polyphenol-Protein Complexes and Their Consequences for the Redox Activity, Structure and Function of Honey. A Current View and New Hypothesis – a Review by Brudzynski Katrina, Maldonado-Alvarez Liset

Get full text

Complete genome of mangrove-derived anti-MRSA streptomycete, Streptomyces pluripotens MUSC 135T by Hooi-Leng Ser, Kok-Gan Chan, Wen-Si Tan, Wai-Fong Yin, Bey-Hing Goh, Nurul-Syakima Ab Mutalib, Learn-Han Lee

“…The availability of S. pluripotens MUSC 135T genome sequence has opened new window for drug discovery, particularly for effective drugs against harmful pathogens such as MRSA and certainly deserves further detailed study. …”
Get full text

In Vitro and In Silico Analysis of Bergenia ciliata and Mimosa pudica for Inhibition of α-Amylase by Mahesh Bohara, Sajani Ghaju, Kabita Sharma, Surya Kant Kalauni, Karan Khadayat

“…The discovery of antidiabetic natural products is a flourishing field of opportunity in the sector of drug discovery. Various medicinal plants with diverse chemical constituents have been extensively studied for drug development. …”
Get full text

Comprehensive evaluation of pure and hybrid collaborative filtering in drug repurposing by Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer

“…Drug repurposing allows drug discovery by reusing already approved compounds. …”
Get full text

AVP-GPT2: A Transformer-Powered Platform for De Novo Generation, Screening, and Explanation of Antiviral Peptides by Huajian Zhao, Gengshen Song

“…AVP-GPT2 has the potential to significantly impact antiviral drug discovery by accelerating the identification of novel therapeutic agents. …”
Get full text

Role of Mitochondria-Associated Endoplasmic Reticulum Membrane in Inflammation-Mediated Metabolic Diseases by Themis Thoudam, Jae-Han Jeon, Chae-Myeong Ha, In-Kyu Lee

Get full text

A conserved switch to less catalytically active Polycomb repressive complexes in non-dividing cells by Rachel McCole, James Nolan, David M. Reck, Craig Monger, Samantha Rustichelli, Eric Conway, Gerard L. Brien, Cheng Wang, Orla Deevy, Hannah K. Neikes, Frances M. Bashore, Aoibhinn Mooney, Richard Flavin, Elisabeth Vandenberghe, Sarena F. Flanigan, Diego Pasini, Chen Davidovich, Michiel Vermeulen, Lindsey I. James, Evan Healy, Adrian P. Bracken

Get full text

Enhanced Isolation of Streptomyces from Different Soil Habitats in Calamba City, Laguna, Philippines using a Modified Integrated Approach by Jhon Wilson A. Antido, Fresthel Monica M. Climacosa

“…These Streptomyces isolates can be valuable for future drug discovery and development research.…”
Get full text

Handling Imbalance Classification Virtual Screening Big Data Using Machine Learning Algorithms by Sahar K. Hussin, Salah M. Abdelmageid, Adel Alkhalil, Yasser M. Omar, Mahmoud I. Marie, Rabie A. Ramadan

“…Virtual screening is the most critical process in drug discovery, and it relies on machine learning to facilitate the screening process. …”
Get full text

Bioactivity-guided isolation and molecular modeling of the anti-inflammatory constituents from the leaves of Duranta erecta Linn. by Marina Sobhy, Farid N. Kirollos, Sameh F. AbouZid, Nasser S. M. Ismail, Riham A. El-Shiekh, Essam Abdel-Sattar

“…Overall, the data reported in this study add to our understanding of the pharmacological properties of the examined plant and Duranterectoside A (1) and pave the way for future research and investigation in inflammation and drug discovery.…”
Get full text

Evaluation of the Hair Cell Regeneration in Zebrafish Larvae by Measuring and Quantifying the Startle Responses by Changquan Wang, Zhenmin Zhong, Peng Sun, Hanbing Zhong, Hongzhe Li, Fangyi Chen

“…Together it demonstrated the capability of this behavioral assay in evaluating the hair cell functions of fish larvae and its potential as a high-throughput screening tool for auditory-related gene and drug discovery.…”
Get full text

Potential antiproliferative effect of isoxazolo- and thiazolo coumarin derivatives on breast cancer mediated bone and lung metastases by Ballazhi Lulzime, Popovski Emil, Jashari Ahmed, Imeri Faik, Ibrahimi Ibrahim, Mikhova Bozhana, Mladenovska Kristina

“…The study highlights the current progress in the development of coumarin scaffolds for drug discovery as novel anticancer agents in metastatic breast cancer. …”
Get full text

Unveiling immune cell response disparities in human primary cancer-associated fibroblasts between two- and three-dimensional cultures. by Jian-Ping Yang, Nikhil Nitin Kulkarni, Masashi Yamaji, Tsubasa Shiraishi, Thang Pham, Han Do, Nicole Aiello, Michael Shaw, Toshihiro Nakamura, Akiko Abiru, Narender R Gavva, Shane R Horman

“…Our findings reveal a more immunosuppressive and clinically relevant desmoplastic TME model that can be employed in industrial drug discovery campaigns to expand the cellular target range of chemotherapeutics.…”
Get full text

Bridging the Gap in the Adoption of Trustworthy AI in Indian Healthcare: Challenges and Opportunities by Sarat Kumar Chettri, Rup Kumar Deka, Manob Jyoti Saikia

“…It finds that the existing studies mostly used conventional machine learning (ML) algorithms and artificial neural networks (ANNs) for a variety of tasks, such as drug discovery, disease surveillance systems, early disease detection and diagnostic accuracy, and management of healthcare resources in India. …”
Get full text

MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…Abstract Background Understanding the molecular properties of chemical compounds is essential for identifying potential candidates or ensuring safety in drug discovery. However, exploring the vast chemical space is time-consuming and costly, necessitating the development of time-efficient and cost-effective computational methods. …”
Get full text