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ORCIDFrontiers in Bioinformatics, Volume 6
Volume 6, 2026
- Joost M. Bakker, Dirma Janse, Martijn van Overbruggen, Maarten C. A. van der Sanden:
From signal overload to shared insight: creating and structuring scientific visuals for comprehension and dialogue. - Xiong Rongchuan, Li Jianhong, Liu Tingchang, Chengyuan Sun, Chen Hong, Zhengpeng Chen, Tang Chaozhi, Zhao Xinxia:
Identification and bioinformatics analysis of a novel member of the lumbrokinase gene family in earthworms. - Jai Chand Patel
, Avinash M. Veerappa, Chittibabu Guda:
An explainable-AI framework reveals novel lncRNAs specific for breast cancer subtypes. - Xia Li, Kang-Lai Wei, Zhao-Quan Huang, Zi-Yan Huang:
An integrated automated deep learning framework for annotating tumor-infiltrating lymphocytes in lung adenocarcinoma pathology. - E. Sila Ozdemir, Hyunbum Jang, Ruth Nussinov, Attila Gürsoy, Ozlem Keskin:
Repurposing AI for protein interactions and dynamics: opportunities, limitations, and lessons. - Vanessa Verrina, Marianna Talia, Eugenio Cesario, Santina Capalbo, Domenica Scordamaglia, Rosamaria Lappano, Anna Maria Miglietta, Marcello Maggiolini, Sabrina Giordano:
Integrating trajectory inference and self-explainable predictive models to explore cell state transitions in breast cancer at single-cell resolution. - Christian Alexander Steinparz, Andreas P. Hinterreiter, Labinot Bajraktari, Vitaly Sedlyarov, Markus J. Bauer, Thomas Zichner, Marc Streit:
SHACLens: a visualization workflow for SHACL violation exploration in knowledge graphs. - Mirena Ivanova, Joana Mourão, Judit Szarvas, Elif S. Tosun, Niamh Lacy-Roberts, Natasia Rebekka Thornval, Zita Záborcki, Szilárd Jánosi, Raquel Garcia-Fierro, Pierre-Alexandre Beloeil, Ernesto Liebana, Beatriz Guerra, Rene S. Hendriksen, Jette S. Kjeldgaard:
Human-associated NDM-5-producing multidrug-resistant Escherichia coli detected in retail beef and pork in Hungary, 2021. - Charles W. Crawford, Yuka Nakano, Marika Hayashi, Antony Ibrahim, Issei Kono, Iri Sato-Baran, Takeshi Ozeki:
Japanese genomes for pharmacogenomics: primary and secondary pipelines for population-specific insights. - Bindu Nanduri, Inimary Toby-Ogundeji:
Editorial: Integrating machine learning and AI in biological research: unraveling complexities and driving advancements. - Reda Chahir, Salaheddine Redouane, Jacob Galan, Hicham Hboub, Lahoussaine Aserrar, Salma Chakir, Ahmed Salim Lahlou, Hinde Aassila, Rachid El Fatimy, Naoual Oukkache:
Computational discovery of SARS-CoV-2 viral entry inhibitory peptides from Androctonus mauretanicus scorpion venom: molecular docking and molecular dynamics simulations targeting the spike protein. - Janina Wellmann:
Movement beyond data: epistemic and pictorial challenges in understanding moving life. - Jinqing Huang, Jian Su, Tengfei Cheng:
IRMKD: an application of instance relation matrix in plant disease recognition. - Anabella Margareth Arapa, Trina Ekawati Tallei, Rinaldi Idroes, Fatimawali, Elly Juliana Suoth, Maghfirah Savitri, Ahmad Akroman Adam, Beivy Jonathan Kolondam, Chika Yamada, Rosy Iara Maciel de Azambuja Ribeiro, Amama Rani, Moon Nyeo Park, Youdiil Ophinni, Bonglee Kim:
A multi-epitope pan-betacoronavirus vaccine construct predicted to induce broad-spectrum and durable immune responses: an immunoinformatics approach. - Caijian Hua, Caorong Xiang, Liuying Li, Xia Zhou:
ZR2ViM: a recursive vision Mamba model for boundary-preserving medical image segmentation. - Liping Zhou, Chenyang Fei, Quanxia Liu:
Investigating the molecular mechanisms of the "Tianma-Gouteng" herb pair in treating Parkinson's disease: a bioinformatics approach and density functional theory with molecular dynamics simulations validation. - Tristan Whitmarsh, Mohammad Al Sa'd, Eduardo González Solares, Alireza Molaeinezhad, Melis O. Irfan, Claire Mulvey, Marta Paez-Ribes, Atefeh Fatem, Wei Cope, Kui Hua, Gregory Hannon, Dario Bressan, Nicholas Walton:
A toolkit for generating virtual brightfield images of histological and immunohistochemical stains from multiplexed data with AI-based channel selection and image enhancement. - Helen Piontkivska, Fabia Ursula Battistuzzi, Tzu-Chiao Chao, Nicole Hansmeier:
Editorial: Evolution of short genomic regions: discoveries, methods, and challenges. - Tope Abraham Ibisanmi, Xiaotao Jiang, Mark Willcox, Naresh Kumar:
Recent advances in computational antimicrobial peptide discovery through big data, modeling, and artificial intelligence and their interplay in ushering the next golden era of drug development. - Fabián Mauricio Vélez Salazar, Iván David Patiño Arcila, Ismael E. Rivera Madrid, Marlon Rincón Fulla:
Boolean network and meshless simulations for the comparison of transport and reaction mechanisms arising in one-short tri-exponential and uniform infusion electrochemotherapeutic treatments. - Xiaopeng Ji, Lei Wang, Yong Zhou:
SimpleKANSleepNet: a Kolmogorov-Arnold network based sleep stage classification method. - Thomas Pugsley, Guy Hanke, Christopher D. P. Duffy:
Evaluating transcriptomic integration for cyanobacterial constraint-based metabolic modelling. - Neli Fonseca, Amudha Kumari Duraisamy, Zhe Wang, Sriram Somasundharam, Minoosadat Tayebinia, Lucas Carrijo de Oliveira, Miao Ma, Jack Turner, Ardan Patwardhan, Gerard J. Kleywegt, Matthew Hartley, Kyle L. Morris:
Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank. - Fábio Henrique Schuster de Oliveira, Felipe Acker Gomes, Bruno César Feltes:
Benchmarking multiple gene ontology enrichment tools reveals high biological significance, ranking, and stringency heterogeneity among datasets. - Anuj S. Todkar, Shyam Reddy Kotha, Lin Bai, Saikiran Mandula, Hannah B. Wilson, Daniel D. Meyer, Rebecca Berdeaux, Badrinath Roysam, Navin Varadarajan:
Label-free TIMING: an efficient, reliable and scalable AI workflow for automated profiling of cell-cell interaction behaviors in nanowell arrays. - Reda Chahir, Salaheddine Redouane, Jacob Galan, Hicham Hboub, Lahoussaine Aserrar, Salma Chakir, Ahmed Salim Lahlou, Hinde Aassila, Rachid El Fatimy, Naoual Oukkache:
Correction: Computational discovery of SARS-CoV-2 viral entry inhibitory peptides from Androctonus mauretanicus scorpion venom: molecular docking and molecular dynamics simulations targeting the spike protein. - K. Saranya, Emerson Raja Joseph, Ts. Kalaiarasi, M. Karthiga:
Generative AI in drug repurposing and biomarker discovery: a multimodal approach. - Blake Moody, Jiehyun Kim, Sanghyuk Kim, Daniel Haehn:
Machine learning for N-dimensional spatial reasoning tasks on the web. - Shuang Xu, Wen Yan, Bin Zhang, Hong Qi, Kai Wang:
A clustering method for single-cell RNA sequencing data based on denoising and masking learning. - Yang Sun, Yu Chang, Yezhi Feng, Binghui Song, Yanan Zhou:
Integrated transcriptomics and machine learning reveal diagnostic biomarkers and immune-stromal remodeling in ischemic heart failure. - Pavan Gollapalli, Tamizh Selvan Gnanasekaran:
Designing and immuno-informatics evaluation of a multi-epitope vaccine targeting lipoprotein A-4′-phosphatase (LpxF) for Helicobacter pylori infection control. - Shruti Godara, Samarth Godara, Shbana Begam, Anil Kumar Singh:
GPXplore: an intelligent computational framework for precise gene promoter extraction. - Daniel Pointner, Michael Kranz, Maria Stella Wagner, Moritz Haus, Karla Lehle, Lars Krenkel:
Automated deep learning based detection of cellular deposits on clinically used ECMO membrane lungs. - Zixuan Li, Zhiguo Yu, Peng Li:
A CSGNN model-based method for essential protein identification. - Sreyoshi Routh, Venkatraman Manickam:
Integrated experimental and computational insights into the anti-inflammatory potential of flower-derived exosome-like nanoparticles targeting the NF-κB pathway. - Courage Siame, Rafiatu Abdul-Mumin, Georgina Agyekum, Linda Akuffo, Ernest Afari, Cecilia Adwoa Biaa Yankey, Kwadwo Asamoah Kusi:
Population HLA coverage of experimentally characterized P. falciparum CD8+ T cell epitopes as potential components of a multi-epitope malaria vaccine construct: an in silico insight. - Gesine Müller, Torben Göpel, Nico Scherf, Jan Huisken:
Visualizing the multidimensional landscape of biological variation in modern microscopy. - Anushya Selvakumar, Perpetual Ansel Chandran, Sai Shraddha, Loganathan Chandramani Priya Dharshini, Sarath Perumal, Ramanathan Karuppasamy, Abul Kalam Azad Mandal:
Unveiling the potential of apigenin and kaempferol against colon cancer: an integrated network pharmacology and docking approach. - Akhila Sheela, Suhail Subair, Samseera Ummar, Althaf Mahin, Athira Perunelly Gopalakrishnan, Rajesh Raju, Sowmya Soman:
A system-wide investigation into the phosphoregulatory network of TNIK and its cellular implications. - Alsamman M. Alsamman, Khaled H. Mousa, Asmaa E. Abd El-Hak, Doaa A. Korkar, Anas M. Saedwi, Sandy Khaled, Al-Sayed Al-Soudy, Achraf El Allali, Zakaria Kehel, Morad M. Mokhtar:
Identification of key genes in chickpea transcriptomics and the development of ChickpeaOmicsR as a comprehensive resource to advance breeding and genomic studies. - Armi Katrina Santos-Enriquez, Fabian M. Dayrit, Armando Jerome De Jesus, Nina Rosario L. Rojas:
Network pharmacology refined with non-ubiquity and decoy-controlled molecular docking reveals insights into Moringa oleifera phytochemicals targeting insulin resistance. - Stefan M. Ivanov:
An efficient computational chemistry approach to generating negative data for drug discovery pipeline validation. - Liping Li, Huanqing Liu, Qian Lei, Tingting Li:
From clinical phenotypes to genomic signatures: machine learning integration for precision tuberculosis treatment prediction. - Yimin Shen, Xiaotian Xu, Xiaoxi Hao, Cuimin Sun, Wei Lan:
Forest-EMCBE: an evolutionary ensemble learning algorithm for multiclass diagnosis of bacterial pneumonia using the CBC dataset. - Amal Alnouri, Andreas P. Hinterreiter, Christian Alexander Steinparz, Labinot Bajraktari, Sebastian Burgstaller-Muehlbacher, Markus Bauer, Gregorio Alanis-Lobato, Marc Streit:
molIEreVIS: exploring and interpreting the evidence behind drug repurposing predictions. - Anastasia Yankovskiy, Sudhir Kumar, Sayaka Miura:
Evolutionary dynamics of early and late mutational signatures in metastatic cancer. - B. Angitha, Amritha Thaikkad, Radul R. Dev, Rajesh Raju, C. V. Umesh, Abhithaj Jayanandan:
Targeting KasA: isosakuranetin derivatives as promising scaffolds for novel anti-tuberculosis agents against drug-resistant Mycobacterium tuberculosis. - Rahul Dev, Anjana C. Lalu, Sinana Zarin, Bristow Ben Joseph, Rajesh Raju, Abhithaj Jayanandan, Sangeeth Thekkan:
Machine learning-based QSAR and molecular modeling of phytocompounds in Barleria buxifolia L. as a potential aldose reductase inhibitor. - Hua Li, Yingchun Jiang, Jijia Li:
Machine learning identifies molecular targets of Di (2-ethylhexyl) phthalate in pulmonary arterial hypertension.
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