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 2020-04-01 to 2024-04-01.)
ArticleCitations
Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer431
UCell: Robust and scalable single-cell gene signature scoring238
The DisGeNET cytoscape app: Exploring and visualizing disease genomics data227
Integration strategies of multi-omics data for machine learning analysis196
From pyroptosis, apoptosis and necroptosis to PANoptosis: A mechanistic compendium of programmed cell death pathways187
The language of proteins: NLP, machine learning & protein sequences177
Review on circular RNAs and new insights into their roles in cancer173
The oralome and its dysbiosis: New insights into oral microbiome-host interactions173
A review on machine learning approaches and trends in drug discovery167
Chemokines and chemokine receptors during COVID-19 infection145
Network analysis methods for studying microbial communities: A mini review131
Automated methods for cell type annotation on scRNA-seq data122
Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring110
Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis109
Nanopore sequencing and its application to the study of microbial communities103
An overview of current COVID-19 vaccine platforms97
Farnesoid X receptor (FXR): Structures and ligands94
Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning90
Association of risk factors with type 2 diabetes: A systematic review83
A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data80
The molecular feature of macrophages in tumor immune microenvironment of glioma patients78
Recent advances in exploring the heavy metal(loid) resistant microbiome69
Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes68
Machine learning and deep learning methods that use omics data for metastasis prediction67
Dependence of SARS-CoV-2 infection on cholesterol-rich lipid raft and endosomal acidification66
Statistical methods for Mendelian randomization in genome-wide association studies: A review61
Machine learning in the prediction of cancer therapy59
A review on marine plastisphere: biodiversity, formation, and role in degradation59
On the road to explainable AI in drug-drug interactions prediction: A systematic review59
Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review58
Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing57
Accurate brain tumor detection using deep convolutional neural network53
Phycobiliproteins: Structural aspects, functional characteristics, and biotechnological perspectives53
Statistical and machine learning methods for spatially resolved transcriptomics with histology52
A review on compound-protein interaction prediction methods: Data, format, representation and model51
Integrated metabolomics and network pharmacology to reveal the mechanisms of hydroxysafflor yellow A against acute traumatic brain injury51
Mechanistic insights into the effect of phosphorylation on Ras conformational dynamics and its interactions with cell signaling proteins51
Skin microbiome transplantation and manipulation: Current state of the art49
QuPath: The global impact of an open source digital pathology system48
The genus Bifidobacterium: from genomics to functionality of an important component of the mammalian gut microbiota47
Immune evasion of SARS-CoV-2 from interferon antiviral system47
Advances in the development of therapeutic strategies against COVID-19 and perspectives in the drug design for emerging SARS-CoV-2 variants47
Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis47
Stressed out: Bacterial response to high salinity using compatible solute biosynthesis and uptake systems, lessons from Vibrionaceae45
Defining the wheat microbiome: Towards microbiome-facilitated crop production45
Metabolic modelling approaches for describing and engineering microbial communities44
Antioxidants and pentoxifylline as coadjuvant measures to standard therapy to improve prognosis of patients with pneumonia by COVID-1943
Computational strategies for single-cell multi-omics integration43
MULocDeep: A deep-learning framework for protein subcellular and suborganellar localization prediction with residue-level interpretation42
Interplay between miRNAs and lncRNAs: Mode of action and biological roles in plant development and stress adaptation42
Protein domain identification methods and online resources41
Identification of cyclin protein using gradient boost decision tree algorithm40
Robustness of differential gene expression analysis of RNA-seq40
Delineating the activation mechanism and conformational landscape of a class B G protein-coupled receptor glucagon receptor39
Statistical methods for mediation analysis in the era of high-throughput genomics: Current successes and future challenges39
N-terminal domain mutations of the spike protein are structurally implicated in epitope recognition in emerging SARS-CoV-2 strains39
Secrete or perish: The role of secretion systems in Xanthomonas biology38
Inhibition of the main protease of SARS-CoV-2 (Mpro) by repurposing/designing drug-like substances and utilizing nature’s toolbox of bioactive compounds38
Identification of multipotent drugs for COVID-19 therapeutics with the evaluation of their SARS-CoV2 inhibitory activity38
Representation learning applications in biological sequence analysis38
DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis38
Protein–protein interaction prediction with deep learning: A comprehensive review37
Structural and molecular biology of hepatitis E virus37
Human endogenous retroviruses in development and disease37
COVID-19 pandemic: Can zinc supplementation provide an additional shield against the infection?37
Subtypes of tail spike proteins predicts the host range of Ackermannviridae phages37
An overview of potential inhibitors targeting non-structural proteins 3 (PLpro and Mac1) and 5 (3CLpro/Mpro) of SARS-CoV-237
AMR-Diag: Neural network based genotype-to-phenotype prediction of resistance towards β-lactams in Escherichia coli and Klebsiella pneumoniae37
The mechanism of activation of monomeric B-Raf V600E36
Novel coronavirus disease (COVID-19) pandemic: A recent mini review35
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
Codon-based indices for modeling gene expression and transcript evolution34
Diet-gut microbiota interactions on cardiovascular disease34
ADP-ribosylation systems in bacteria and viruses34
The role of solute binding proteins in signal transduction34
DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species33
Evidence of a putative glycosaminoglycan binding site on the glycosylated SARS-CoV-2 spike protein N-terminal domain33
Deimmunization of protein therapeutics – Recent advances in experimental and computational epitope prediction and deletion32
Ecological distribution and potential roles of Woesearchaeota in anaerobic biogeochemical cycling unveiled by genomic analysis32
Gut microbial metabolome in inflammatory bowel disease: From association to therapeutic perspectives32
Dynamic progression of the calf’s microbiome and its influence on host health32
Deciphering extrachromosomal circular DNA in Arabidopsis31
The ecological roles of microbial lipopeptides: Where are we going?31
N1-methyladenosine modification in cancer biology: Current status and future perspectives31
Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning31
Soil under stress: The importance of soil life and how it is influenced by (micro)plastic pollution31
Computational solutions for spatial transcriptomics31
Temperature dependence of the SARS-CoV-2 affinity to human ACE2 determines COVID-19 progression and clinical outcome31
Molecular dynamics simulations of the delta and omicron SARS-CoV-2 spike – ACE2 complexes reveal distinct changes between both variants31
From sequence to function through structure: Deep learning for protein design31
Intense bitterness of molecules: Machine learning for expediting drug discovery30
Rhizosphere microbiome: Functional compensatory assembly for plant fitness30
The intratumor microbiome predicts prognosis across gender and subtypes in papillary thyroid carcinoma30
Automatic cell type identification methods for single-cell RNA sequencing29
New approaches for the characterization of plastic-associated microbial communities and the discovery of plastic-degrading microorganisms and enzymes28
2D Zernike polynomial expansion: Finding the protein-protein binding regions28
Phosphotyrosine couples peptide binding and SHP2 activation via a dynamic allosteric network28
Chaos game representation and its applications in bioinformatics27
Computational design of a cutinase for plastic biodegradation by mining molecular dynamics simulations trajectories27
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements27
Co-crystallization and structure determination: An effective direction for anti-SARS-CoV-2 drug discovery27
Targeting protein-protein interaction interfaces in COVID-19 drug discovery27
Insights into the biosynthesis pathway of phenolic compounds in microalgae27
Superspreading and heterogeneity in transmission of SARS, MERS, and COVID-19: A systematic review27
Advances in flux balance analysis by integrating machine learning and mechanism-based models27
Antibiotic resistance: Time of synthesis in a post-genomic age26
Application of long-read sequencing to the detection of structural variants in human cancer genomes26
Exploiting cheminformatic and machine learning to navigate the available chemical space of potential small molecule inhibitors of SARS-CoV-226
An extracellular lipase from Amycolatopsis mediterannei is a cutinase with plastic degrading activity26
De novo genome assembly of the potent medicinal plant Rehmannia glutinosa using nanopore technology26
Machine learning application in personalised lung cancer recurrence and survivability prediction26
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 ch26
Benchmarking of Nanopore R10.4 and R9.4.1 flow cells in single-cell whole-genome amplification and whole-genome shotgun sequencing26
INPUT: An intelligent network pharmacology platform unique for traditional Chinese medicine26
Boolean modelling as a logic-based dynamic approach in systems medicine25
Modelling microbial communities: Harnessing consortia for biotechnological applications25
Interaction of 8-anilinonaphthalene-1-sulfonate with SARS-CoV-2 main protease and its application as a fluorescent probe for inhibitor identification25
Staphylococcus aureus induces neutrophil extracellular traps (NETs) and neutralizes their bactericidal potential25
Microorganisms in the reproductive system and probiotic's regulatory effects on reproductive health25
Spontaneous binding of potential COVID-19 drugs (Camostat and Nafamostat) to human serine protease TMPRSS225
MXD3 as an onco-immunological biomarker encompassing the tumor microenvironment, disease staging, prognoses, and therapeutic responses in multiple cancer types25
Predicted structural mimicry of spike receptor-binding motifs from highly pathogenic human coronaviruses25
MLACP 2.0: An updated machine learning tool for anticancer peptide prediction25
Advances in multi-omics study of biomarkers of glycolipid metabolism disorder24
A mathematical model of the circadian clock and drug pharmacology to optimize irinotecan administration timing in colorectal cancer24
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
Deep learning in prediction of intrinsic disorder in proteins23
Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells23
Insight into membraneless organelles and their associated proteins: Drivers, Clients and Regulators23
Deep learning for COVID-19 chest CT (computed tomography) image analysis: A lesson from lung cancer23
Computational prediction of secreted proteins in gram-negative bacteria23
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
A guide to multi-omics data collection and integration for translational medicine23
Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA)22
Deep learning frameworks for protein–protein interaction prediction22
Protein conformational switch discerned via network centrality properties22
FangNet: Mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm22
Structure-based peptide design targeting intrinsically disordered proteins: Novel histone H4 and H2A peptidic inhibitors22
Considerations for constructing a protein sequence database for metaproteomics22
CRISPR/Cas9 based genome editing for targeted transcriptional control in triple-negative breast cancer22
Structure-based molecular modeling in SAR analysis and lead optimization22
Strategies for mitochondrial gene editing22
Exploiting the molecular basis of age and gender differences in outcomes of SARS-CoV-2 infections22
The mitogenomes of two saprophytic Boletales species (Coniophora) reveals intron dynamics and accumulation of plasmid-derived and non-conserved genes22
Employing hypoxia characterization to predict tumour immune microenvironment, treatment sensitivity and prognosis in hepatocellular carcinoma22
Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation21
Lactobacillus casei Zhang exerts probiotic effects to antibiotic-treated rats21
Ultra-large-scale ab initio quantum chemical computation of bio-molecular systems: The case of spike protein of SARS-CoV-2 virus21
Gut eukaryotic virome in colorectal carcinogenesis: Is that a trigger?21
Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: A large-scale benchmarking study21
Dysbiosis and relapse-related microbiome in inflammatory bowel disease: A shotgun metagenomic approach21
ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets21
Modeling approaches for probing cross-feeding interactions in the human gut microbiome20
Oral microbiota transplantation fights against head and neck radiotherapy-induced oral mucositis in mice20
Binding affinity and mechanisms of SARS-CoV-2 variants20
Integrative approaches for analysis of mRNA and microRNA high-throughput data20
Identifies microtubule-binding protein CSPP1 as a novel cancer biomarker associated with ferroptosis and tumor microenvironment20
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
Distinguishing between PTEN clinical phenotypes through mutation analysis20
Synthetic gut microbiome: Advances and challenges20
A theoretical and generalized approach for the assessment of the sample-specific limit of detection for clinical metagenomics20
Machine learning applications in RNA modification sites prediction20
Effective use of sequence information to predict CRISPR-Cas9 off-target19
Exploring the impact of intestinal ion transport on the gut microbiota19
Prediction of CRISPR/Cas9 single guide RNA cleavage efficiency and specificity by attention-based convolutional neural networks19
Endocytosis of nutrient transporters in fungi: The ART of connecting signaling and trafficking19
From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures19
FIREcaller: Detecting frequently interacting regions from Hi-C data19
Association between intestinal microbiome and inflammatory bowel disease: Insights from bibliometric analysis19
Virulence factor-related gut microbiota genes and immunoglobulin A levels as novel markers for machine learning-based classification of autism spectrum disorder19
Analysis of immune subtypes across the epithelial-mesenchymal plasticity spectrum18
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
Richness estimation in microbiome data obtained from denoising pipelines18
The genome of the rice variety LTH provides insight into its universal susceptibility mechanism to worldwide rice blast fungal strains18
ALDH2 as a potential stem cell-related biomarker in lung adenocarcinoma: Comprehensive multi-omics analysis18
Discovery of a new generation of angiotensin receptor blocking drugs: Receptor mechanisms and in silico binding to enzymes relevant to SARS-CoV-218
Computational design of SARS-CoV-2 spike glycoproteins to increase immunogenicity by T cell epitope engineering18
A brief review of protein–ligand interaction prediction18
Gut microbiome signatures distinguish type 2 diabetes mellitus from non-alcoholic fatty liver disease18
Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs18
Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: Lessons from the pandemic and preparing for future health crises18
Application of interpretable machine learning for early prediction of prognosis in acute kidney injury17
A fragment-based approach to assess the ligandability of ArgB, ArgC, ArgD and ArgF in the L-arginine biosynthetic pathway of Mycobacterium tuberculosis17
MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins17
The fatty acid site is coupled to functional motifs in the SARS-CoV-2 spike protein and modulates spike allosteric behaviour17
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
Machine learning assisted analysis of breast cancer gene expression profiles reveals novel potential prognostic biomarkers for triple-negative breast cancer17
Neuroprotective derivatives of tacrine that target NMDA receptor and acetyl cholinesterase – Design, synthesis and biological evaluation17
High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance17
WADDAICA: A webserver for aiding protein drug design by artificial intelligence and classical algorithm17
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
Transcriptomic signatures and repurposing drugs for COVID-19 patients: findings of bioinformatics analyses17
Identification of SHCBP1 as a potential biomarker involving diagnosis, prognosis, and tumor immune microenvironment across multiple cancers17
PSNtools for standalone and web-based structure network analyses of conformational ensembles17
Rational engineering of the lccβ T. versicolor laccase for the mediator-less oxidation of large polycyclic aromatic hydrocarbons17
Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine17
Bacterial low-abundant taxa are key determinants of a healthy airway metagenome in the early years of human life17
Biochemical and Structural Characterization of a novel thermophilic esterase EstD11 provide catalytic insights for the HSL family17
MDM-TASK-web: MD-TASK and MODE-TASK web server for analyzing protein dynamics17
Reversal of the unique Q493R mutation increases the affinity of Omicron S1-RBD for ACE216
OncoboxPD: human 51 672 molecular pathways database with tools for activity calculating and visualization16
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
Automated and semi-automated enhancement, segmentation and tracing of cytoskeletal networks in microscopic images: A review16
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
Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles16
DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species16
Metabolomics and biochemical assays reveal the metabolic responses to hypo-salinity stress and osmoregulatory role of cAMP-PKA pathway in Mercenaria mercenaria16
Contribution of sample processing to gut microbiome analysis in the model Lepidoptera, silkworm Bombyx mori16
Binding characteristics of staphylococcal protein A and streptococcal protein G for fragment crystallizable portion of human immunoglobulin G16
Comparative host transcriptome in response to pathogenic fungi identifies common and species-specific transcriptional antifungal host response pathways16
Dissecting the role of glutamine in seeding peptide aggregation16
Prediction of GPCR activity using machine learning16
Maize specialized metabolome networks reveal organ-preferential mixed glycosides16
Profiling of host genetic alterations and intra-tumor microbiomes in colorectal cancer15
Integrating pan-genome with metagenome for microbial community profiling15
Systems biology reveals key tissue-specific metabolic and transcriptional signatures involved in the response of Medicago truncatula plant genotypes to salt stress15
Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction15
DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins15
A comparative study of multiple instance learning methods for cancer detection using T-cell receptor sequences15
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
A tandem motif-based and structural approach can identify hidden functional phosphodiesterases15
Neuropilins: C-end rule peptides and their association with nociception and COVID-1915
Exploring the universal healthy human gut microbiota around the World15
Microbial interaction-driven community differences as revealed by network analysis15
Substantial cell apoptosis provoked by naked PAMAM dendrimers in HER2-positive human breast cancer via JNK and ERK1/ERK2 signalling pathways15
High-quality reannotation of the king scallop genome reveals no ‘gene-rich’ feature and evolution of toxin resistance15
FSL-Kla: A few-shot learning-based multi-feature hybrid system for lactylation site prediction15
TF-COMB – Discovering grammar of transcription factor binding sites15
Machine learning analysis of SERS fingerprinting for the rapid determination of Mycobacterium tuberculosis infection and drug resistance14
Deep learning for microscopic examination of protozoan parasites14
Machine learning applied to serum and cerebrospinal fluid metabolomes revealed altered arginine metabolism in neonatal sepsis with meningoencephalitis14
Strategies for structure elucidation of small molecules based on LC–MS/MS data from complex biological samples14
The emerging potential of microbiome transplantation on human health interventions14
Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling14
Mini-review: Recent advances in post-translational modification site prediction based on deep learning14
Transcriptional and translational landscape of Candida auris in response to caspofungin14
PySTACHIO: Python Single-molecule TrAcking stoiCHiometry Intensity and simulatiOn, a flexible, extensible, beginner-friendly and optimized program for analysis of single-molecule microscopy data14
Rhizosphere microbes enhance plant salt tolerance: Toward crop production in saline soil14
The constrained disorder principle defines living organisms and provides a method for correcting disturbed biological systems14
Functional convergence of Yunnan snub-nosed monkey and bamboo-eating panda gut microbiomes revealing the driving by dietary flexibility on mammal gut microbiome14
Transcriptomic and genomic changes associated with radioadaptation in Exophiala dermatitidis14
0.03373908996582