Computational and Structural Biotechnology Journal

Papers
(The TQCC of Computational and Structural Biotechnology Journal is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer453
UCell: Robust and scalable single-cell gene signature scoring249
The DisGeNET cytoscape app: Exploring and visualizing disease genomics data238
Integration strategies of multi-omics data for machine learning analysis207
From pyroptosis, apoptosis and necroptosis to PANoptosis: A mechanistic compendium of programmed cell death pathways197
The language of proteins: NLP, machine learning & protein sequences185
The oralome and its dysbiosis: New insights into oral microbiome-host interactions182
Review on circular RNAs and new insights into their roles in cancer180
A review on machine learning approaches and trends in drug discovery175
Chemokines and chemokine receptors during COVID-19 infection148
Network analysis methods for studying microbial communities: A mini review137
Automated methods for cell type annotation on scRNA-seq data124
Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis115
Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring110
Nanopore sequencing and its application to the study of microbial communities106
Farnesoid X receptor (FXR): Structures and ligands100
An overview of current COVID-19 vaccine platforms99
Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning93
Association of risk factors with type 2 diabetes: A systematic review87
A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data85
The molecular feature of macrophages in tumor immune microenvironment of glioma patients79
Statistical methods for Mendelian randomization in genome-wide association studies: A review74
Recent advances in exploring the heavy metal(loid) resistant microbiome73
Machine learning and deep learning methods that use omics data for metastasis prediction69
Dependence of SARS-CoV-2 infection on cholesterol-rich lipid raft and endosomal acidification68
Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes67
A review on marine plastisphere: biodiversity, formation, and role in degradation64
Machine learning in the prediction of cancer therapy63
Accurate brain tumor detection using deep convolutional neural network61
Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing60
Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review60
On the road to explainable AI in drug-drug interactions prediction: A systematic review60
Phycobiliproteins: Structural aspects, functional characteristics, and biotechnological perspectives58
Integrated metabolomics and network pharmacology to reveal the mechanisms of hydroxysafflor yellow A against acute traumatic brain injury54
A review on compound-protein interaction prediction methods: Data, format, representation and model54
Statistical and machine learning methods for spatially resolved transcriptomics with histology53
QuPath: The global impact of an open source digital pathology system51
Mechanistic insights into the effect of phosphorylation on Ras conformational dynamics and its interactions with cell signaling proteins51
The genus Bifidobacterium: from genomics to functionality of an important component of the mammalian gut microbiota51
Metabolic modelling approaches for describing and engineering microbial communities49
Skin microbiome transplantation and manipulation: Current state of the art49
Stressed out: Bacterial response to high salinity using compatible solute biosynthesis and uptake systems, lessons from Vibrionaceae49
Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis48
Immune evasion of SARS-CoV-2 from interferon antiviral system48
Advances in the development of therapeutic strategies against COVID-19 and perspectives in the drug design for emerging SARS-CoV-2 variants47
MULocDeep: A deep-learning framework for protein subcellular and suborganellar localization prediction with residue-level interpretation46
Defining the wheat microbiome: Towards microbiome-facilitated crop production46
Antioxidants and pentoxifylline as coadjuvant measures to standard therapy to improve prognosis of patients with pneumonia by COVID-1944
DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis44
Computational strategies for single-cell multi-omics integration43
Interplay between miRNAs and lncRNAs: Mode of action and biological roles in plant development and stress adaptation42
Statistical methods for mediation analysis in the era of high-throughput genomics: Current successes and future challenges41
Identification of cyclin protein using gradient boost decision tree algorithm41
Protein domain identification methods and online resources41
N-terminal domain mutations of the spike protein are structurally implicated in epitope recognition in emerging SARS-CoV-2 strains40
Inhibition of the main protease of SARS-CoV-2 (Mpro) by repurposing/designing drug-like substances and utilizing nature’s toolbox of bioactive compounds40
Robustness of differential gene expression analysis of RNA-seq40
Representation learning applications in biological sequence analysis39
Identification of multipotent drugs for COVID-19 therapeutics with the evaluation of their SARS-CoV2 inhibitory activity39
Delineating the activation mechanism and conformational landscape of a class B G protein-coupled receptor glucagon receptor39
AMR-Diag: Neural network based genotype-to-phenotype prediction of resistance towards β-lactams in Escherichia coli and Klebsiella pneumoniae39
Secrete or perish: The role of secretion systems in Xanthomonas biology38
Subtypes of tail spike proteins predicts the host range of Ackermannviridae phages38
Protein–protein interaction prediction with deep learning: A comprehensive review38
Structural and molecular biology of hepatitis E virus38
Human endogenous retroviruses in development and disease38
COVID-19 pandemic: Can zinc supplementation provide an additional shield against the infection?38
An overview of potential inhibitors targeting non-structural proteins 3 (PLpro and Mac1) and 5 (3CLpro/Mpro) of SARS-CoV-238
The mechanism of activation of monomeric B-Raf V600E36
Novel coronavirus disease (COVID-19) pandemic: A recent mini review35
Gut microbial metabolome in inflammatory bowel disease: From association to therapeutic perspectives35
Codon-based indices for modeling gene expression and transcript evolution35
ADP-ribosylation systems in bacteria and viruses35
AI applications in functional genomics35
Atomic-scale insights into allosteric inhibition and evolutional rescue mechanism of Streptococcus thermophilus Cas9 by the anti-CRISPR protein AcrIIA635
Diet-gut microbiota interactions on cardiovascular disease35
Dynamic progression of the calf’s microbiome and its influence on host health35
From sequence to function through structure: Deep learning for protein design34
The role of solute binding proteins in signal transduction34
Computational solutions for spatial transcriptomics34
Evidence of a putative glycosaminoglycan binding site on the glycosylated SARS-CoV-2 spike protein N-terminal domain33
Deciphering extrachromosomal circular DNA in Arabidopsis33
Ecological distribution and potential roles of Woesearchaeota in anaerobic biogeochemical cycling unveiled by genomic analysis33
N1-methyladenosine modification in cancer biology: Current status and future perspectives33
Soil under stress: The importance of soil life and how it is influenced by (micro)plastic pollution33
Deimmunization of protein therapeutics – Recent advances in experimental and computational epitope prediction and deletion33
DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species33
New approaches for the characterization of plastic-associated microbial communities and the discovery of plastic-degrading microorganisms and enzymes33
Molecular dynamics simulations of the delta and omicron SARS-CoV-2 spike – ACE2 complexes reveal distinct changes between both variants32
Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning32
Rhizosphere microbiome: Functional compensatory assembly for plant fitness31
Intense bitterness of molecules: Machine learning for expediting drug discovery31
Temperature dependence of the SARS-CoV-2 affinity to human ACE2 determines COVID-19 progression and clinical outcome31
Automatic cell type identification methods for single-cell RNA sequencing31
The ecological roles of microbial lipopeptides: Where are we going?31
The intratumor microbiome predicts prognosis across gender and subtypes in papillary thyroid carcinoma30
Modelling microbial communities: Harnessing consortia for biotechnological applications29
Machine learning application in personalised lung cancer recurrence and survivability prediction29
2D Zernike polynomial expansion: Finding the protein-protein binding regions29
Insights into the biosynthesis pathway of phenolic compounds in microalgae29
Phosphotyrosine couples peptide binding and SHP2 activation via a dynamic allosteric network29
Co-crystallization and structure determination: An effective direction for anti-SARS-CoV-2 drug discovery28
Benchmarking of Nanopore R10.4 and R9.4.1 flow cells in single-cell whole-genome amplification and whole-genome shotgun sequencing28
Assessment of transferable forcefields for protein simulations attests improved description of disordered states and secondary structure propensities, and hints at multi-protein systems as the next ch28
Chaos game representation and its applications in bioinformatics28
Advances in flux balance analysis by integrating machine learning and mechanism-based models28
Superspreading and heterogeneity in transmission of SARS, MERS, and COVID-19: A systematic review27
Computational design of a cutinase for plastic biodegradation by mining molecular dynamics simulations trajectories27
De novo genome assembly of the potent medicinal plant Rehmannia glutinosa using nanopore technology27
INPUT: An intelligent network pharmacology platform unique for traditional Chinese medicine27
Targeting protein-protein interaction interfaces in COVID-19 drug discovery27
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements27
Exploiting cheminformatic and machine learning to navigate the available chemical space of potential small molecule inhibitors of SARS-CoV-227
An extracellular lipase from Amycolatopsis mediterannei is a cutinase with plastic degrading activity27
MXD3 as an onco-immunological biomarker encompassing the tumor microenvironment, disease staging, prognoses, and therapeutic responses in multiple cancer types26
Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: A large-scale benchmarking study26
Deep learning in prediction of intrinsic disorder in proteins26
Antibiotic resistance: Time of synthesis in a post-genomic age26
Microorganisms in the reproductive system and probiotic's regulatory effects on reproductive health26
Application of long-read sequencing to the detection of structural variants in human cancer genomes26
MLACP 2.0: An updated machine learning tool for anticancer peptide prediction25
Staphylococcus aureus induces neutrophil extracellular traps (NETs) and neutralizes their bactericidal potential25
Spontaneous binding of potential COVID-19 drugs (Camostat and Nafamostat) to human serine protease TMPRSS225
Advances in multi-omics study of biomarkers of glycolipid metabolism disorder25
Predicted structural mimicry of spike receptor-binding motifs from highly pathogenic human coronaviruses25
Considerations for constructing a protein sequence database for metaproteomics25
Interaction of 8-anilinonaphthalene-1-sulfonate with SARS-CoV-2 main protease and its application as a fluorescent probe for inhibitor identification25
A mathematical model of the circadian clock and drug pharmacology to optimize irinotecan administration timing in colorectal cancer25
Boolean modelling as a logic-based dynamic approach in systems medicine25
Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA)24
ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets24
Computational modelling supports that dengue virus envelope antibodies can bind to SARS-CoV-2 receptor binding sites: Is pre-exposure to dengue virus protective against COVID-19 severity?24
A guide to multi-omics data collection and integration for translational medicine24
Structure-based molecular modeling in SAR analysis and lead optimization24
Computational prediction of secreted proteins in gram-negative bacteria24
Deep learning for COVID-19 chest CT (computed tomography) image analysis: A lesson from lung cancer23
Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells23
Strategies for mitochondrial gene editing23
Exploiting the molecular basis of age and gender differences in outcomes of SARS-CoV-2 infections23
Insight into membraneless organelles and their associated proteins: Drivers, Clients and Regulators23
TS-m6A-DL: Tissue-specific identification of N6-methyladenosine sites using a universal deep learning model23
Advances in integrative structural biology: Towards understanding protein complexes in their cellular context23
FangNet: Mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm22
Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation22
Deep learning frameworks for protein–protein interaction prediction22
Dysbiosis and relapse-related microbiome in inflammatory bowel disease: A shotgun metagenomic approach22
Protein conformational switch discerned via network centrality properties22
Employing hypoxia characterization to predict tumour immune microenvironment, treatment sensitivity and prognosis in hepatocellular carcinoma22
Structure-based peptide design targeting intrinsically disordered proteins: Novel histone H4 and H2A peptidic inhibitors22
Identifies microtubule-binding protein CSPP1 as a novel cancer biomarker associated with ferroptosis and tumor microenvironment22
The mitogenomes of two saprophytic Boletales species (Coniophora) reveals intron dynamics and accumulation of plasmid-derived and non-conserved genes22
Gut eukaryotic virome in colorectal carcinogenesis: Is that a trigger?22
ALDH2 as a potential stem cell-related biomarker in lung adenocarcinoma: Comprehensive multi-omics analysis22
Synthetic gut microbiome: Advances and challenges22
CRISPR/Cas9 based genome editing for targeted transcriptional control in triple-negative breast cancer22
Virulence factor-related gut microbiota genes and immunoglobulin A levels as novel markers for machine learning-based classification of autism spectrum disorder21
Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine21
Ultra-large-scale ab initio quantum chemical computation of bio-molecular systems: The case of spike protein of SARS-CoV-2 virus21
Lactobacillus casei Zhang exerts probiotic effects to antibiotic-treated rats21
Integrative approaches for analysis of mRNA and microRNA high-throughput data20
Endocytosis of nutrient transporters in fungi: The ART of connecting signaling and trafficking20
MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data20
Evolution, correlation, structural impact and dynamics of emerging SARS-CoV-2 variants20
Prediction of CRISPR/Cas9 single guide RNA cleavage efficiency and specificity by attention-based convolutional neural networks20
Distinguishing between PTEN clinical phenotypes through mutation analysis20
Modeling approaches for probing cross-feeding interactions in the human gut microbiome20
A theoretical and generalized approach for the assessment of the sample-specific limit of detection for clinical metagenomics20
Richness estimation in microbiome data obtained from denoising pipelines20
A brief review of protein–ligand interaction prediction20
Effective use of sequence information to predict CRISPR-Cas9 off-target20
Oral microbiota transplantation fights against head and neck radiotherapy-induced oral mucositis in mice20
Binding affinity and mechanisms of SARS-CoV-2 variants20
Machine learning applications in RNA modification sites prediction20
Association between intestinal microbiome and inflammatory bowel disease: Insights from bibliometric analysis19
The genome of the rice variety LTH provides insight into its universal susceptibility mechanism to worldwide rice blast fungal strains19
Discovery of a new generation of angiotensin receptor blocking drugs: Receptor mechanisms and in silico binding to enzymes relevant to SARS-CoV-219
From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures19
Reversal of the unique Q493R mutation increases the affinity of Omicron S1-RBD for ACE219
Exploring the impact of intestinal ion transport on the gut microbiota19
Machine learning assisted analysis of breast cancer gene expression profiles reveals novel potential prognostic biomarkers for triple-negative breast cancer19
High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance19
Neuroprotective derivatives of tacrine that target NMDA receptor and acetyl cholinesterase – Design, synthesis and biological evaluation18
MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins18
Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs18
Identification of SHCBP1 as a potential biomarker involving diagnosis, prognosis, and tumor immune microenvironment across multiple cancers18
Computational design of SARS-CoV-2 spike glycoproteins to increase immunogenicity by T cell epitope engineering18
Network metrics, structural dynamics and density functional theory calculations identified a novel Ursodeoxycholic Acid derivative against therapeutic target Parkin for Parkinson's disease18
A data-driven methodology towards evaluating the potential of drug repurposing hypotheses18
In silico and in vitro insights into tyrosinase inhibitors with a 2-thioxooxazoline-4-one template18
Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles18
Analysis of immune subtypes across the epithelial-mesenchymal plasticity spectrum18
PSNtools for standalone and web-based structure network analyses of conformational ensembles18
Gut microbiome signatures distinguish type 2 diabetes mellitus from non-alcoholic fatty liver disease18
FIREcaller: Detecting frequently interacting regions from Hi-C data18
Biochemical and Structural Characterization of a novel thermophilic esterase EstD11 provide catalytic insights for the HSL family18
Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: Lessons from the pandemic and preparing for future health crises18
Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance17
The fatty acid site is coupled to functional motifs in the SARS-CoV-2 spike protein and modulates spike allosteric behaviour17
Transcriptomic signatures and repurposing drugs for COVID-19 patients: findings of bioinformatics analyses17
Prediction of GPCR activity using machine learning17
Microbial interaction-driven community differences as revealed by network analysis17
A fragment-based approach to assess the ligandability of ArgB, ArgC, ArgD and ArgF in the L-arginine biosynthetic pathway of Mycobacterium tuberculosis17
OncoboxPD: human 51 672 molecular pathways database with tools for activity calculating and visualization17
Comparative host transcriptome in response to pathogenic fungi identifies common and species-specific transcriptional antifungal host response pathways17
DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species17
MDM-TASK-web: MD-TASK and MODE-TASK web server for analyzing protein dynamics17
Exploring the universal healthy human gut microbiota around the World17
Application of interpretable machine learning for early prediction of prognosis in acute kidney injury17
Rational engineering of the lccβ T. versicolor laccase for the mediator-less oxidation of large polycyclic aromatic hydrocarbons17
Contribution of hydrophobic interactions to protein mechanical stability17
Insights into the molecular mechanism of positive cooperativity between partial agonist MK-8666 and full allosteric agonist AP8 of hGPR40 by Gaussian accelerated molecular dynamics (GaMD) simulations17
The life and death of RNA across temperatures17
Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process17
WADDAICA: A webserver for aiding protein drug design by artificial intelligence and classical algorithm17
Bacterial low-abundant taxa are key determinants of a healthy airway metagenome in the early years of human life17
Profiling of host genetic alterations and intra-tumor microbiomes in colorectal cancer16
Emerging frontiers in human milk microbiome research and suggested primers for 16S rRNA gene analysis16
Temperature effect on the SARS-CoV-2: A molecular dynamics study of the spike homotrimeric glycoprotein16
SARS-CoV-2 mutations acquired during serial passage in human cell lines are consistent with several of those found in recent natural SARS-CoV-2 variants16
Active phase prebiotic feeding alters gut microbiota, induces weight-independent alleviation of hepatic steatosis and serum cholesterol in high-fat diet-fed mice16
Metabolomics and biochemical assays reveal the metabolic responses to hypo-salinity stress and osmoregulatory role of cAMP-PKA pathway in Mercenaria mercenaria16
Integrating pan-genome with metagenome for microbial community profiling16
Binding characteristics of staphylococcal protein A and streptococcal protein G for fragment crystallizable portion of human immunoglobulin G16
Deep learning for microscopic examination of protozoan parasites16
Identification of piRNA disease associations using deep learning16
Dissecting the role of glutamine in seeding peptide aggregation16
Functional convergence of Yunnan snub-nosed monkey and bamboo-eating panda gut microbiomes revealing the driving by dietary flexibility on mammal gut microbiome16
Contribution of sample processing to gut microbiome analysis in the model Lepidoptera, silkworm Bombyx mori16
Establishment and validation of a cholesterol metabolism-related prognostic signature for hepatocellular carcinoma16
Integrative RNA profiling of TBEV-infected neurons and astrocytes reveals potential pathogenic effectors16
FSL-Kla: A few-shot learning-based multi-feature hybrid system for lactylation site prediction16
Automated and semi-automated enhancement, segmentation and tracing of cytoskeletal networks in microscopic images: A review16
Maize specialized metabolome networks reveal organ-preferential mixed glycosides16
A tandem motif-based and structural approach can identify hidden functional phosphodiesterases15
Strategies for structure elucidation of small molecules based on LC–MS/MS data from complex biological samples15
Drug repositioning in drug discovery of T2DM and repositioning potential of antidiabetic agents15
SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information15
Systems biology reveals key tissue-specific metabolic and transcriptional signatures involved in the response of Medicago truncatula plant genotypes to salt stress15
Systematic review of computational methods for drug combination prediction15
Neuropilins: C-end rule peptides and their association with nociception and COVID-1915
DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins15
Substantial cell apoptosis provoked by naked PAMAM dendrimers in HER2-positive human breast cancer via JNK and ERK1/ERK2 signalling pathways15
From structure to function – Ligand recognition by myeloid C-type lectin receptors15
Rhizosphere microbes enhance plant salt tolerance: Toward crop production in saline soil15
Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction15
Mini-review: Recent advances in post-translational modification site prediction based on deep learning15
TF-COMB – Discovering grammar of transcription factor binding sites15
Aqueous ionic liquids redistribute local enzyme stability via long-range perturbation pathways15
High-quality reannotation of the king scallop genome reveals no ‘gene-rich’ feature and evolution of toxin resistance15
Whole-genome analysis of carbapenem-resistant Acinetobacter baumannii from clinical isolates in Southern Thailand15
0.04524302482605