|
0
|
|
Population pharmacokinetics and dose optimization of piperacillin-tazobactam in premature and term neonates with severe infections.
(journals.asm.org)
|
Boer-Perez FS
…
Milan-Segovia RdC
Antimicrobial Agents and Chemotherapy
2026-01-07
|
#pharmacokinetics
#modeling
#neonatal
#infection
#dosing
|
|
0
|
|
Predicting prolonged dalbavancin exposure using machine learning: a validated strategy for individualized redosing.
(journals.asm.org)
|
Sayadi H
…
Woillard J-B
Antimicrobial Agents and Chemotherapy
2026-01-07
|
#pharmacokinetics
#modeling
#machine learning
#amr
#infection
|
|
0
|
|
Simulated endocardial vegetation model highlights the complexity of high-inoculum infections among beta-lactamase-producing organisms.
(journals.asm.org)
|
Fratoni AJ
Antimicrobial Agents and Chemotherapy
2026-01-07
|
#endocarditis
#amr
#pharmacodynamics
#modeling
|
|
0
|
|
Population pharmacokinetics and optimized dosing of piperacillin-tazobactam in hematological patients with febrile neutropenia.
(journals.asm.org)
|
Laporte-Amargos J
…
Gudiol C
Antimicrobial Agents and Chemotherapy
2026-01-07
|
#pharmacokinetics
#dosing
#neutropenia
#modeling
#infection
|
|
0
|
|
Learning to explore tree neighbourhoods for phylogenetic inference.
(academic.oup.com)
|
Camerota Verdu FJ
…
Castelli L
Briefings in Bioinformatics
2026-01-07
|
#phylogenomics
#modeling
#optimization
#evolution
|
|
0
|
|
BHMnet: Bayesian high-dimensional mediation analysis with network information integration for correlated mediators.
(academic.oup.com)
|
Im Y
…
Huang Y
Briefings in Bioinformatics
2026-01-07
|
#modeling
#network
#metabolism
#mediation
|
|
0
|
|
Data-driven discovery of digital twins in biomedical research.
(academic.oup.com)
|
Metayer C
…
Martinelli J
Briefings in Bioinformatics
2026-01-07
|
#modeling
#systems biology
#machine learning
#drug discovery
#regression
|
|
0
|
|
ProTCR: a protein language model-driven framework for decoding TCR-antigen recognition toward precision immunotherapies.
(academic.oup.com)
|
Xu M
…
Xie L
Briefings in Bioinformatics
2026-01-07
|
#immunotherapy
#modeling
#immunity
#antigen
|
|
0
|
|
MPHGNN: metapath-guided heterogeneous graph neural network for miRNA-drug resistance association prediction.
(academic.oup.com)
|
Huang G
…
Liu S
Briefings in Bioinformatics
2026-01-07
|
#amr
#microrna
#modeling
#cancer
|
|
0
|
|
A comprehensive survey of genome language models in bioinformatics.
(academic.oup.com)
|
Shu L
…
Zhang D
Briefings in Bioinformatics
2026-01-07
|
#modeling
#sequencing
#transcriptomics
#phylogenomics
|
|
0
|
|
CNAttention: an attention-based deep multiple-instance method for uncovering copy number aberration signatures across cancers.
(academic.oup.com)
|
Yang Z
…
Baudis M
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#copy_number_variation
#classification
#machine learning
|
|
0
|
|
Systematic evaluation of computational tools to predict the effects of mutations on protein-ligand binding affinity in the absence of experimental structures.
(academic.oup.com)
|
Pan Q
…
Ascher DB
Briefings in Bioinformatics
2026-01-07
|
#modeling
#binding
#mutation
#amr
#virulence
|
|
0
|
|
Predicting protein-carbohydrate binding sites: a deep learning approach integrating protein language model embeddings and structural features.
(academic.oup.com)
|
Muhaiminul Islam Nafi M
…
Saifur Rahman M
Briefings in Bioinformatics
2026-01-07
|
#modeling
#binding
#proteomics
#prediction
|
|
0
|
|
From biogenesis to deep modeling: a holistic review of miRNA-disease prediction computational methods with experimental comparison.
(academic.oup.com)
|
Xie S
…
Law KLE
Briefings in Bioinformatics
2026-01-07
|
#modeling
#biomarker
#prediction
#pathogenesis
#microrna
|
|
0
|
|
Integrating multi-structure covalent docking with machine-learning consensus scoring enhances potency ranking of human acetylcholinesterase inhibitors.
(academic.oup.com)
|
Jaladanki CK
…
Fan H
Briefings in Bioinformatics
2026-01-07
|
#docking
#machine learning
#modeling
#inhibitor
|
|
0
|
|
plmmr: an R package to fit penalized linear mixed models for genome-wide association data with complex correlation structure.
(academic.oup.com)
|
Peter TK
…
Breheny PJ
Briefings in Bioinformatics
2026-01-07
|
#modeling
#sequencing
#genomics
#genome-wide association
|
|
0
|
|
An effective fragment-based dual conditional diffusion framework for molecular generation.
(academic.oup.com)
|
Chen H
…
Zhao W
Briefings in Bioinformatics
2026-01-07
|
#molecular_generation
#drug design
#diffusion
#modeling
|
|
0
|
|
Artificial intelligence in mitotic checkpoint modeling: transforming our understanding of cellular division through machine learning and predictive biology.
(academic.oup.com)
|
Ibrahim B
Briefings in Bioinformatics
2026-01-07
|
#modeling
#machine learning
#cancer
#cell-division
|
|
0
|
|
PEPNet: a two-stage point cloud framework with hierarchical embedding and antigen-antibody interaction modeling for epitope prediction.
(academic.oup.com)
|
Chen J
…
Zhang Q
Briefings in Bioinformatics
2026-01-07
|
#epitope
#antibody
#modeling
#immunity
|
|
0
|
|
BayesRare: Bayesian mixture model for population-level rare cell type detection in multi-subject single-cell RNA sequencing data.
(academic.oup.com)
|
Yan Y
…
Wu H
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#clustering
#modeling
#immunity
|
|
0
|
|
GFSeeker: a splicing-graph-based approach for accurate gene fusion detection from long-read RNA sequencing data.
(academic.oup.com)
|
Wang B
…
Jiang T
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#sequencing
#cancer
#fusion
#modeling
|
|
0
|
|
Phylogenomics to structure: evolutionary and clinical signals in the TP53 DNA-binding core through LOOCV-validated ensemble learning.
(academic.oup.com)
|
Raza Abbas S
…
Won Lee S
Briefings in Bioinformatics
2026-01-07
|
#phylogenomics
#virulence
#modeling
#mutation
|
|
0
|
|
Adaptive multi-view information bottleneck for multi-omics data clustering.
(academic.oup.com)
|
Tian Z
…
Fu S
Briefings in Bioinformatics
2026-01-07
|
#clustering
#single-cell
#multi-omics
#transcriptomics
#modeling
|
|
0
|
|
Identification of cancer mini-drivers by deciphering selective landscape in the cancer genome.
(academic.oup.com)
|
Zhu X
…
Gu X
Briefings in Bioinformatics
2026-01-07
|
#cancer
#evolution
#selection
#heterogeneity
#modeling
|
|
0
|
|
Atypical collective oscillatory activity in cardiac tissue uncovered by optogenetics.
(elifesciences.org)
|
Teplenin AS
…
De Coster T
eLife
2026-01-07
|
#neuromodulation
#arrhythmias
#modeling
#oscillations
#cardiac
|
|
0
|
|
Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations.
(academic.oup.com)
|
Bosch I
…
Lenaerts T
Briefings in Bioinformatics
2026-01-07
|
#modeling
#prediction
#genetics
#rare disease
|
|
0
|
|
DeepRMSF: a deep learning-based automated approach for predicting atomic-level flexibility in RNA structure.
(academic.oup.com)
|
Feng C
…
Han R
Briefings in Bioinformatics
2026-01-07
|
#simulation
#deep learning
#rna structure
#protein flexibility
#modeling
|
|
0
|
|
A co-evolutionary perspective on humans and Mycobacterium tuberculosis in the era of systems biology.
(elifesciences.org)
|
Reichmann MT
…
Elkington PT
eLife
2026-01-07
|
#transcriptomics
#immunity
#pathogen
#modeling
#tb
|
|
0
|
|
BiChemoCLAM: a weakly supervised multimodal framework for chemotherapy response prediction.
(academic.oup.com)
|
Gui J
…
Su R
Briefings in Bioinformatics
2026-01-07
|
#cancer
#chemotherapy
#modeling
#multimodal
|
|
0
|
|
Personalized gene expression prediction in the era of deep learning: a review.
(academic.oup.com)
|
Dubey V
…
Shen L
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#modeling
#genomics
#machine learning
|
|
0
|
|
PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank.
(academic.oup.com)
|
Yang Z
…
Li Y
Briefings in Bioinformatics
2026-01-07
|
#phenotyping
#modeling
#ehr
#prediction
#genome-wide association
|
|
0
|
|
Imputing missing values in single-cell RNA-sequencing data: a statistical and machine learning-based approach.
(academic.oup.com)
|
Shamsuzzaman AFM
…
Mukhopadhyay A
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#imputation
#clustering
#modeling
|
|
0
|
|
ANIA: an inception-attention network for predicting minimum inhibitory concentration of antimicrobial peptides.
(academic.oup.com)
|
Chiu YP
…
Lee TY
Briefings in Bioinformatics
2026-01-07
|
#antimicrobial peptides
#amr
#modeling
#deep learning
|
|
0
|
|
ASTWAS: modeling alternative polyadenylation and SNP effects in kernel-driven TWAS reveal novel genetic associations for complex traits.
(academic.oup.com)
|
Wang Y
…
Cao C
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#twas
#modeling
#immunity
#genetics
|
|
0
|
|
GRAFT: a graph-aware fusion transformer for cancer driver gene prediction.
(academic.oup.com)
|
Cho SP
…
Cho YR
Briefings in Bioinformatics
2026-01-07
|
#cancer
#modeling
#network
#machine learning
|
|
0
|
|
Advances and challenges in single-cell RNA sequencing data analysis: a comprehensive review.
(academic.oup.com)
|
Nesari AM
…
Ghorbian S
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#clustering
#preprocessing
#immunity
#modeling
|
|
0
|
|
Safety, tolerability, and pharmacokinetics of a 2 g subcutaneous dose of ceftriaxone as an alternative to intravenous delivery.
(journals.asm.org)
|
Nel H
…
Manning L
Antimicrobial Agents and Chemotherapy
2026-01-07
|
#antibiotic
#pharmacokinetics
#bioavailability
#modeling
|
|
0
|
|
Whole-body distribution of three Pseudomonas phages characterized by a translational physiologically based pharmacokinetic model.
(journals.asm.org)
|
Echterhof A
…
Blankenberg FG
Antimicrobial Agents and Chemotherapy
2026-01-07
|
#phage
#pharmacokinetics
#modeling
#biodistribution
#amr
|
|
0
|
|
Predicting enviromically adapted varieties with big data.
(link.springer.com)
|
Gogna A
…
Zhao Y
Genome Biology
2026-01-07
|
#genomic prediction
#machine learning
#breeding
#modeling
#phenotyping
|
|
0
|
|
MoAGNN: a multi-omics hierarchical graph neural network for subtype classification and prognosis prediction in lung adenocarcinoma.
(academic.oup.com)
|
Lin CP
…
Lee TY
Briefings in Bioinformatics
2026-01-07
|
#cancer
#multi-omics
#modeling
#prognosis
#transcriptomics
|
|
0
|
|
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis.
(academic.oup.com)
|
Partin A
…
Stevens RL
Briefings in Bioinformatics
2026-01-07
|
#modeling
#benchmarking
#drug response
#machine learning
#generalization
|
|
0
|
|
GPCRact: a hierarchical framework for predicting ligand-induced GPCR activity via allosteric communication modeling.
(academic.oup.com)
|
Son H
…
Yi GS
Briefings in Bioinformatics
2026-01-07
|
#modeling
#allosteric
#drug discovery
#structure prediction
|
|
0
|
|
scGACL: a generative adversarial network with multi-scale contrastive learning for accurate single-cell RNA sequencing imputation.
(academic.oup.com)
|
Jiang Y
…
Guo F
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#imputation
#sequencing
#modeling
|
|
0
|
|
Dynamic-GLEP: a dynamics-informed deep learning framework for ligand efficacy prediction in representative Class A GPCRs.
(academic.oup.com)
|
Chen Z
…
Teng D
Briefings in Bioinformatics
2026-01-07
|
#modeling
#deep learning
#drug discovery
#binding
#simulation
|
|
0
|
|
Cross-ancestry information transfer framework improves protein abundance prediction and protein-trait association identification.
(academic.oup.com)
|
Zhai W
…
Zhou D
Briefings in Bioinformatics
2026-01-07
|
#proteomics
#modeling
#association
#prediction
#genetics
|
|
0
|
|
EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.
(academic.oup.com)
|
Peng Y
…
Zhao X
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#epigenomics
#modeling
#machine learning
|
|
0
|
|
DTAP: a unified graph transformer framework for joint prediction of drug-target affinity and docking pose.
(academic.oup.com)
|
Liu J
…
Pan Y
Briefings in Bioinformatics
2026-01-07
|
#modeling
#docking
#binding
|
|
0
|
|
Harnessing AI to fuse phenotypic signatures for drug target identification: progress in computational modeling.
(academic.oup.com)
|
Chen F
…
Tang Z
Briefings in Bioinformatics
2026-01-07
|
#modeling
#transcriptomics
#drug discovery
#machine learning
#target prediction
|