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Current Issue of PLoSBiology


Current Issue | PLOS Computational Biology
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Table of Contents

November 2025

Computer simulations based on detailed musculoskeletal models reproduce human walking under varied conditions such as incline, load, and speed. By comparing these simulations to experimental gait data, we assess how well they predict real movement and metabolic energy use. The simulations accurately capture overall gait patterns but underestimate metabolic cost—particularly during energetically demanding tasks like uphill walking—due to overly efficient metabolic modeling and overestimated muscle fiber work. Improving these models in the future may help develop more effective assistive devices and therapies for people with movement difficulties. Afschrift et al. 2025

Image Credit: Maarten Afschrift

Education Articles

Ten simple rules for making biomedical data resources accessible

Thomas C. Smits, Lawrence Weru, Nils Gehlenborg, Sehi L’Yi

Ten simple rules for early-career researchers supervising short-term student projects

Rebecca M. Crossley, Philip K. Maini

Perspective

Building a continuous benchmarking ecosystem in bioinformatics

Izaskun Mallona, Charlotte Soneson, Ben Carrillo, Almut Lütge, Daniel Incicau, Reto Gerber, Anthony Sonrel, Mark D. Robinson

Research Articles

Branch-specific gene discovery in cell differentiation using multi-omics graph attention

Yihao Yin, Linzhi Zhuang, Yulei Wang, Yazhou Shi, Bengong Zhang

Surrogate modeling of Cellular-Potts agent-based models as a segmentation task using the U-Net neural network architecture

Tien Comlekoglu, J. Quetzalcóatl Toledo-Marín, Tina Comlekoglu, Douglas W. DeSimone, Shayn M. Peirce, Geoffrey Fox, James A. Glazier

Machine learning augmented diagnostic testing to identify sources of variability in test performance

Christopher Jon Banks, Aeron Sanchez, Vicki Stewart, Kate Bowen, Thomas Doherty, Oliver Tearne, Graham Smith, Rowland R. Kao

Calibration of transmission-dynamic infectious disease models: A scoping review and reporting framework

Emmanuelle A. Dankwa, Léa Cavalli, Ruchita Balasubramanian, Melike Hazal Can, Hening Cui, Katherine M. Jia, Yunfei Li, Sylvia K. Ofori, Nicole A. Swartwood, Carrie G. Wade, Caroline O. Buckee, Jeffrey W. Imai-Eaton, Nicolas A. Menzies

Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models

Tiffany M.G. Baptiste, Cristobal Rodero, Charles P. Sillett, Marina Strocchi, Christopher W. Lanyon, Christoph M. Augustin, Angela W. C. Lee, José Alonso Solís-Lemus, Caroline H. Roney, Daniel B. Ennis, Ronak Rajani, Christopher A. Rinaldi, Gernot Plank, Richard D. Wilkinson, Steven E. Williams, Steven A. Niederer

Resource diversity and supply drive colonization resistance

Ethan S. Rappaport, Renato Mirollo, Babak Momeni

TXSelect: A multi-task learning model to identify secretory effectors

Jing Li, Qing Liu, Quan Zou, Chao Zhan

Data-driven identification of biological systems using multi-scale analysis

Ismaila Muhammed, Dimitris M. Manias, Dimitris A. Goussis, Haralampos Hatzikirou

Cortical state contributions to neuronal response variability in the early visual cortex: A system identification approach

Jinani Sooriyaarachchi, Chang’an A. Zhan, Curtis L. Baker Jr

Role of connectivity anisotropies in the dynamics of cultured neuronal networks

Akke Mats Houben, Jordi Garcia-Ojalvo, Jordi Soriano

Splicing-aware scRNA-Seq resolution reveals execution-ready programs in effector Tregs

Daniil K. Lukyanov, Evgeniy S. Egorov, Valeriia V. Kriukova, Denis Syrko, Victor V. Kotliar, Kristin Ladell, David A. Price, Andre Franke, Dmitry M. Chudakov

A linear pathway for inositol pyrophosphate metabolism revealed by 18O labeling and model reduction

Jacques Hermes, Geun-Don Kim, Guizhen Liu, Maria Giovanna De Leo, Andreas Mayer, Henning Jessen, Jens Timmer

Optimization of experimental designs for biological rhythm discovery

Turner Silverthorne, Matthew Carlucci, Arturas Petronis, Adam R. Stinchcombe

A Bayesian neural ordinary differential equations framework to study the effects of chemical mixtures on survival

Virgile Baudrot, Nina Cedergreen, Thomas Kleiber, André Gergs, Sandrine Charles

Automated C. elegans behavior analysis via deep learning-based detection and tracking

Xiaoke Liu, Jianming Liu, Wenjie Teng, Yuzhong Peng, Boao Li, Xiaoqing Han, Jing Huo

Differential effect of supercoiling on bacterial transcription in topological domains

Boaz Goldberg, Nicolás Yehya, Jie Xiao, Sam Meyer

IPScan: Detecting novel intronic PolyAdenylation events with RNA-seq data

Naima Ahmed Fahmi, Sze Cheng, Jeovani Overstreet, Qianqian Song, Jeongsik Yong, Wei Zhang

Individual trajectories for recovery of neocortical activity in disorders of consciousness

Prejaas K. B. Tewarie, Romesh Abeysuriya, Rajanikant Panda, Pablo Nùñez, Marie M. Vitello, Glenn van der Lande, Olivia Gosseries, Aurore Thibaut, Steven Laureys, Gustavo Deco, Jitka Annen

Zero-shot segmentation using embeddings from a protein language model identifies functional regions in the human proteome

Ami G. Sangster, Cameron Dufault, Haoning Qu, Denise Le, Julie D. Forman-Kay, Alan M. Moses

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process

Quentin Bateux, Jonathan Koss, Patrick W. Sweeney, Erika Edwards, Nelson Rios, Aaron M. Dollar

SpaMWGDA: Identifying spatial domains of spatial transcriptomes using multi-view weighted fusion graph convolutional network and data augmentation

Lin Yuan, Boyuan Meng, Qingxiang Wang, Chunyu Hu, Cuihong Wang, De-Shuang Huang

ScRDAVis: An R shiny application for single-cell transcriptome data analysis and visualization

Sankarasubramanian Jagadesan, Chittibabu Guda

Incorporating human mobility to enhance epidemic response and estimate real-time reproduction numbers

Mousumi Roy, Hannah E. Clapham, Swapnil Mishra

Stimulus-to-stimulus learning in RNNs with cortical inductive biases

Pantelis Vafidis, Antonio Rangel

The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems

Thomas F. Varley, Pedro A. M. Mediano, Alice Patania, Josh Bongard

OneProt: Towards multi-modal protein foundation models via latent space alignment of sequence, structure, binding sites and text encoders

Klemens Flöge, Srisruthi Udayakumar, Johanna Sommer, Marie Piraud, Stefan Kesselheim, Vincent Fortuin, Stephan Günnemann, Karel J. van der Weg, Holger Gohlke, Erinc Merdivan, Alina Bazarova

Different antigenic distance metrics generate similar predictions of influenza vaccine response breadth despite moderate correlation

W. Zane Billings, Yang Ge, Amanda L. Skarlupka, Savannah L. Miller, Hayley Hemme, Murphy John, Natalie E. Dean, Sarah Cobey, Benjamin J. Cowling, Ye Shen, Ted M. Ross, Andreas Handel

Spatial close-kin mark-recapture methods to estimate dispersal parameters and barrier strength for mosquitoes

John M. Marshall, Shuyi Yang, Jared B. Bennett, Igor Filipović, Gordana Rašić

Multi-view fusion based on graph convolutional network with attention mechanism for predicting miRNA related to drugs

Nan Sheng, Yunzhi Liu, Ling Gao, Lei Wang, Lan Huang, Yan Wang

Trial-by-trial learning of successor representations in human behavior

Ari E. Kahn, Dani S. Bassett, Nathaniel D. Daw

Benchmarking the predictive capability of human gait simulations

Maarten Afschrift, Dinant Kistemaker, Maarten Bobbert, Friedl De Groote

In vivo neural activity of electrosensory pyramidal cells: Biophysical characterization and phenomenological modeling

Amin Akhshi, Michael G. Metzen, Maurice J. Chacron, Anmar Khadra

tvsfglasso: Time-varying scale-free graphical lasso for network estimation from time-series data

Markku Kuismin, Mikko J. Sillanpää

An evolutionary approach to predict the orientation of CRISPR arrays

Axel Fehrenbach, Alexander Mitrofanov, Omer S. Alkhnbashi, Rolf Backofen, Franz Baumdicker

Clinical progression parameters associated with SARS-CoV-2, influenza, and respiratory syncytial virus infections in a large US integrated healthcare population

Noah T. Parker, Vennis Hong, Gregg S. Davis, Magdalena Pomichowski, Iris A. Reyes, Fagen Xie, Nicola F. Mueller, Isabel Rodriguez-Barraquer, Sara Y. Tartof, Joseph A. Lewnard

Molecular insights on the mechanism of α1-antitrypsin condensate formation and maturation

Ignacio Sanchez-Burgos, Andres R. Tejedor, Rosana Collepardo-Guevara, Jorge Bernardino de la Serna, Jorge R. Espinosa

Real-time forecasting of data revisions in epidemic surveillance streams

Jingjing Tang, Aaron Rumack, Bryan Wilder, Roni Rosenfeld

How cortico-basal ganglia-thalamic subnetworks can shift decision policies to increase reward rate

Jyotika Bahuguna, Timothy Verstynen, Jonathan E. Rubin

Unlocking plant health survey data: An approach to quantify the sensitivity and specificity of visual inspections

Matt Combes, Nathan Brown, Robin N. Thompson, Alexander Mastin, Peter Crow, Stephen Parnell

CrossLabFit: A novel framework for integrating qualitative and quantitative data across multiple labs for model calibration

Rodolfo Blanco-Rodriguez, Tanya A. Miura, Esteban Hernandez-Vargas

Multi-physics modeling for ion homeostasis in multi-compartment plant cells using an energy function

Guillaume Mestdagh, Alexis De Angeli, Christophe Godin

Nash equilibrium of attack and defense behaviors between predators and prey

Hiroyuki Ichijo, Yuichiro Kawamura, Tomoya Nakamura

Universal scale-free representations in human visual cortex

Raj Magesh Gauthaman, Brice Ménard, Michael F. Bonner

Parameterization of cell-free systems with time-series data using KETCHUP

Mengqi Hu, Syed Bilal Jilani, Daniel G. Olson, Costas D. Maranas

Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex

Marko A. Ruslim, Martin J. Spencer, Hinze Hogendoorn, Hamish Meffin, Yanbo Lian, Anthony N. Burkitt

Federated learning for COVID-19 mortality prediction in a multicentric sample of 21 hospitals

Roberta Moreira Wichmann, Murilo Afonso Robiati Bigoto, Alexandre Dias Porto Chiavegatto Filho

Prediction of graft loss in living donor liver transplantation during the early postoperative period

Raiki Yoshimura, Naotoshi Nakamura, Takeru Matsuura, Takeo Toshima, Takasuke Fukuhara, Kazuyuki Aihara, Katsuhito Fujiu, Shingo Iwami, Tomoharu Yoshizumi

TransMarker: Unveiling dynamic network biomarkers in cancer progression through cross-state graph alignment and optimal transport

Fatemeh Keikha, Chuanyuan Wang, Zhixia Yang, Zhi-Ping Liu

Lipid-driven alignment and binding of p7 dimers in early oligomer assembly

Oluwatoyin Campbell, Dina Dahhan, Viviana Monje

Multi-scale modelling of location- and frequency-dependent synaptic plasticity induced by repetitive magnetic stimulation in the dendrites of pyramidal neurons

Nicholas Hananeia, Christian Ebner, Christos Galanis, Hermann Cuntz, Alexander Opitz, Andreas Vlachos, Peter Jedlicka

Linking multiple serological assays to infer dengue virus infections from paired samples using mixture models

Marco Hamins-Puértolas, Darunee Buddhari, Henrik Salje, Angkana T. Huang, Taweewun Hunsawong, Derek A.T. Cummings, Stefan Fernandez, Aaron Farmer, Surachai Kaewhiran, Direk Khampaen, Anon Srikiatkhachorn, Sopon Iamsirithaworn, Adam Waickman, Stephen J. Thomas, Timothy Endy, Alan L. Rothman, Kathryn B. Anderson, Isabel Rodriguez-Barraquer

Candidate correlates of protection in the HVTN505 HIV-1 vaccine efficacy trial identified by positive-unlabeled learning

Shiwei Xu, Aaron Hudson, Holly E. Janes, Georgia D. Tomaras, Margaret E. Ackerman

Multiscale modelling shows how cell-ECM interactions impact ECM fibre alignment and cell detachment

Juan Arellano-Tintó, Daria Stepanova, Helen M. Byrne, Philip K. Maini, Tomás Alarcón

Methods

Null models for comparing information decomposition across complex systems

Alberto Liardi, Fernando E. Rosas, Robin L. Carhart-Harris, George Blackburne, Daniel Bor, Pedro A. M. Mediano

APDCA: An accurate and effective method for predicting associations between RBPs and AS-events during epithelial-mesenchymal transition

Yangsong He, Zheng-Jian Bai, Wai-Ki Ching, Quan Zou, Yushan Qiu

HAPP: High-accuracy pipeline for processing deep metabarcoding data

John Sundh, Emma Granqvist, Ela Iwaszkiewicz-Eggebrecht, Lokeshwaran Manoharan, Laura J. A. van Dijk, Robert Goodsell, Nerivania N. Godeiro, Bruno C. Bellini, Johanna Orsholm, Piotr Łukasik, Andreia Miraldo, Tomas Roslin, Ayco J. M. Tack, Anders F. Andersson, Fredrik Ronquist

Inferring pathway activity from single-cell and spatial transcriptomics data with PaaSc

Xiqi Liao, Yuyang Hong, Yan Feng, Henghui Li, Hai Fang, Jiantao Shi

Software

RNACOREX - RNA coregulatory network explorer and classifier

Aitor Oviedo-Madrid, José González-Gomariz, Ruben Armañanzas

miRScore: A rapid and precise microRNA validation tool

Allison Vanek, Sam Griffiths-Jones, Blake C. Meyers, Saima Shahid, Michael J. Axtell

Epydemix: An open-source Python package for epidemic modeling with integrated approximate Bayesian calibration

Nicolò Gozzi, Matteo Chinazzi, Jessica T. Davis, Corrado Gioannini, Luca Rossi, Marco Ajelli, Nicola Perra, Alessandro Vespignani

PseudoknotVisualizer: Visualization of pseudoknots on three-dimensional RNA structures

Takumi Otagaki, Goro Terai, Kiyoshi Asai, Junichi Iwakiri

Automated and modular protein binder design with BinderFlow

Nayim González-Rodríguez, Carlos Chacón-Sánchez, Oscar Llorca, Rafael Fernández-Leiro