Proteins-Structure Function and Bioinformatics

Papers
(The TQCC of Proteins-Structure Function and Bioinformatics is 5. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Critical assessment of methods of protein structure prediction (CASP)—Round XIV345
Applying and improving AlphaFold at CASP14264
High‐accuracy protein structure prediction in CASP14244
Human SARS CoV‐2 spike protein mutations148
Multi‐state modeling of G‐protein coupled receptors at experimental accuracy110
Plastics degradation by hydrolytic enzymes: Theplastics‐activeenzymes database—PAZy103
Perturbing the energy landscape for improved packing during computational protein design99
Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment85
Assessment of protein model structure accuracy estimation in CASP14: Old and new challenges51
Protein structure prediction using deep learning distance and hydrogen‐bonding restraints in CASP1450
Continuous Automated Model EvaluatiOn (CAMEO)—Perspectives on the future of fully automated evaluation of structure prediction methods49
Assessing the utility of CASP14 models for molecular replacement46
Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP1440
Assessment of the CASP14 assembly predictions40
Assessment of thePETaseconformational changes induced by poly(ethylene terephthalate) binding39
Computational models in the service of X‐ray and cryo‐electron microscopy structure determination36
Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes35
New prediction categories in CASP1535
Target classification in the 14th round of the critical assessment of protein structure prediction (CASP14)33
Topology evaluation of models for difficult targets in the 14th round of the critical assessment of protein structure prediction (CASP14)33
Machine learning‐based prediction of enzyme substrate scope: Application to bacterial nitrilases32
Molecular dynamics analysis of a flexible loop at the binding interface of the SARS‐CoV‐2 spike protein receptor‐binding domain32
Assessment of prediction methods for protein structures determined by NMR in CASP14: Impact of AlphaFold232
Assessment of three‐dimensional RNA structure prediction in CASP1532
Repurposing of FDA‐approved drugs against active site and potential allosteric drug‐binding sites of COVID‐19 main protease30
Molecular basis for higher affinity of SARS‐CoV‐2 spike RBD for human ACE2 receptor30
Protein sequence‐to‐structure learning: Is this the end(‐to‐end revolution)?30
Predicting protein flexibility with AlphaFold30
When homologous sequences meet structural decoys: Accurate contact prediction by tFold in CASP14—(tFold for CASP14 contact prediction)29
DLPacker: Deep learning for prediction of amino acid side chain conformations in proteins28
Predicting new protein conformations from molecular dynamics simulation conformational landscapes and machine learning28
AlphaFold2 predicts the inward‐facing conformation of the multidrug transporter LmrP27
Evolution of the SARS‐CoV‐2 proteome in three dimensions (3D) during the first 6 months of the COVID‐19 pandemic27
Target highlights in CASP14: Analysis of models by structure providers26
Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction25
Recent progress in the structural biology of P2X receptors24
A distinct ssDNA/RNA binding interface in the Nsp9 protein from SARS‐CoV‐224
Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment23
ACE2‐based decoy receptors for SARS coronavirus 223
Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment22
Why are ACE2 binding coronavirus strains SARS‐CoV/SARS‐CoV‐2 wild and NL63 mild?22
Critical assessment of methods of protein structure prediction (CASP)—Round XV22
Novel putative polyethylene terephthalate (PET) plastic degrading enzymes from the environmental metagenome21
Deep learning pan‐specific model for interpretable MHC‐I peptide binding prediction with improved attention mechanism21
Improved multimer prediction using massive sampling with AlphaFold in CASP1521
Integrating deep learning, threading alignments, and a multi‐MSA strategy for high‐quality protein monomer and complex structure prediction in CASP1521
Tertiary structure assessment at CASP1520
Physics‐based protein structure refinement in the era of artificial intelligence20
Structure and dynamics of the SARS‐CoV‐2 envelope protein monomer20
Critical assessment of protein intrinsic disorder prediction (CAID) ‐ Results of round 219
Evaluation of model refinement in CASP1419
Investigation of the aquaporin‐2 gating mechanism with molecular dynamics simulations19
Protein inter‐residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP1418
Integrated bioinformatics–cheminformatics approach toward locating pseudo‐potential antiviral marine alkaloids against SARS‐CoV‐2‐Mpro18
A large‐scale survey of pairwise epistasis reveals a mechanism for evolutionary expansion and specialization of PDZ domains18
Structural basis of mutants of PET‐degrading enzyme from Saccharomonospora viridisAHK190 with high activity and thermal stability18
Protein oligomer modeling guided by predicted interchain contacts in CASP1417
Assessing the accuracy of contact and distance predictions in CASP1416
RNA target highlights in CASP15: Evaluation of predicted models by structure providers16
The impact of AI‐based modeling on the accuracy of protein assembly prediction: Insights from CASP1516
Molecular dynamics simulations identify the regions of compromised thermostability in SazCA16
Robust principal component analysis‐based prediction of protein‐protein interaction hot spots16
Insights into protein–DNA interactions from hydrogen bond energy‐based comparative protein–ligand analyses15
New amino acid substitution matrix brings sequence alignments into agreement with structure matches15
SidechainNet: An all‐atom protein structure dataset for machine learning15
PDB‐tools web: A user‐friendly interface for the manipulation of PDB files15
An in silico scientific basis for LL‐37 as a therapeutic for Covid‐1915
Predicting cryptic ligand binding sites based on normal modes guided conformational sampling15
The role of ATP in solubilizing RNA‐binding protein fused in sarcoma14
Crystal structure of a human MUC16 SEA domain reveals insight into the nature of the CA125 tumor marker14
Modeling of protein complexes in CASP14 with emphasis on the interaction interface prediction14
Biological nanopores for sensing applications14
Comparative protein structure network analysis on 3CLpro from SARS‐CoV‐1 and SARS‐CoV‐214
TMEM106B in humans and Vac7 and Tag1 in yeast are predicted to be lipid transfer proteins14
Mapping of antibody epitopes based on docking and homology modeling14
Improving protein tertiary structure prediction by deep learning and distance prediction in CASP1414
RNA tertiary structure prediction using RNAComposer in CASP1513
Elucidating important structural features for the binding affinity of spike ‐ SARS‐CoV‐2 neutralizing antibody complexes13
Fungal Ice2p is in the same superfamily as SERINCs, restriction factors for HIV and other viruses13
IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction13
In silico modeling human VPS13 proteins associated with donor and target membranes suggests lipid transfer mechanisms12
Exploring the structure and dynamics of proteins in soil organic matter12
Insights into the mechanisms of light‐oxygen‐voltage domain color tuning from a set of high‐resolution X‐ray structures12
Assessment of protein–ligand complexes in CASP1512
Protein target highlights in CASP15: Analysis of models by structure providers11
Incorporating label correlations into deep neural networks to classify protein subcellular location patterns in immunohistochemistry images11
Using normal mode analysis on protein structural models. How far can we go on our predictions?11
RF‐SVM: Identification ofDNA‐binding proteins based on comprehensive feature representation methods and support vector machine11
Assessment of the assessment—All about complexes10
Structural insights into the thermostability mechanism of a nitrile hydratase from Caldalkalibacillus thermarum by comparative molecular dynamics simulation10
RNA tertiary structure modeling with BRiQ potential in CASP1510
Predicting molecular properties of α‐synuclein using force fields for intrinsically disordered proteins10
Cryo‐EM targets in CASP1410
An overview of the Plasmodium falciparum hexose transporter and its therapeutic interventions10
N‐glycosylation induced changes in tau protein dynamics reveal its role in tau misfolding and aggregation: A microsecond long molecular dynamics study10
Assessing the binding properties of CASP14 targets and models10
Assessment of domain interactions in the fourteenth round of the Critical Assessment of Structure Prediction (CASP14)10
Estimation of model accuracy in CASP15 using the ModFOLDdock server10
Structural insights into the substrate‐binding site of main protease for the structure‐based COVID‐19 drug discovery10
Breaking the conformational ensemble barrier: Ensemble structure modeling challenges in CASP159
DisCovER: distance‐ and orientation‐based covariational threading for weakly homologous proteins9
A fragment‐based approach to discovery of Receptor for Advanced Glycation End products inhibitors9
A multiscale approach to predict the binding mode of metallo beta‐lactamase inhibitors9
VoroIF‐GNN: Voronoi tessellation‐derived protein–protein interface assessment using a graph neural network9
Protein structure search to support the development of protein structure prediction methods9
Prediction of protein assemblies by structure sampling followed by interface‐focused scoring9
A sequence‐based foldability score combined with AlphaFold2 predictions to disentangle the protein order/disorder continuum9
A fast protein binding site comparison algorithm for proteome‐wide protein function prediction and drug repurposing9
Plastic structures for diverse substrates: A revisit of human ABC transporters9
The effect of lipid composition on the dynamics of tau fibrils9
Automated benchmarking of combined protein structure and ligand conformation prediction8
Structural elements determining the transglycosylating activity of glycoside hydrolase family 57 glycogen branching enzymes8
Calcium inhibits penetration of Alzheimer's Aβ142 monomers into the membrane8
Molecular dynamics simulations reveal the activation mechanism of mutations G12V and Q61L of Cdc428
Identification of key stabilizing interactions of amyloid‐β oligomers based on fragment molecular orbital calculations on macrocyclic β‐hairpin peptides8
Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP158
Lysine–arginine advanced glycation end‐product cross‐links and the effect on collagen structure: A molecular dynamics study8
Molecular insights into the inhibition of glutamate dehydrogenase by the dicarboxylic acid metabolites8
Tackling Covid‐19 using disordered‐to‐order transition of residues in the spike protein upon angiotensin‐converting enzyme 2 binding8
Inferring metal binding sites in flexible regions of proteins8
From propensities to patterns to principles in protein folding8
Crystallographic and modeling study of the human inorganic pyrophosphatase 1: A potential anti‐cancer drug target8
Crystal structure of the large subunit of cobaltochelatase from Mycobacterium tuberculosis8
Ca2+ as cofactor of the mitochondrial H+‐translocating F1FO‐ATP(hydrol)ase8
Improved protein structure prediction with trRosettaX2, AlphaFold2, and optimized MSAs in CASP158
Do “Newly Born” orphan proteins resemble “Never Born” proteins? A study using three deep learning algorithms7
Isolation and characterization of ACE‐I inhibitory peptides from ribbonfish for a potential inhibitor of the main protease of SARS‐CoV‐2: An in silico analysis7
Structures of the TetR‐like transcription regulator RcdA alone and in complexes with ligands7
Estimating protein complex model accuracy based on ultrafast shape recognition and deep learning in CASP157
Purification, characterization, and crystal structure of YhdA‐type azoreductase from Bacillus velezensis7
A geometrical framework for thinking about proteins7
ANOVA‐particle swarm optimization‐based feature selection and gradient boosting machine classifier for improved protein–protein interaction prediction7
Oxidation shuts down an auto‐inhibitory mechanism of von Willebrand factor7
A detailed mapping of the readily accessible disulphide bonds in the cortex of wool fibres7
Theoretical insights into molecular mechanism and energy criteria of PARP‐2 enzyme inhibition by benzimidazole analogues7
β‐sheet breakers with consecutive phenylalanines: Insights into mechanism of dissolution of β‐amyloid fibrils7
Advancing RNA 3D structure prediction: Exploring hierarchical and hybrid approaches in CASP157
SCLpred‐MEM: Subcellular localization prediction of membrane proteins by deep N‐to‐1 convolutional neural networks7
Prediction and characterization of the T cell epitopes for the major soybean protein allergens using bioinformatics approaches7
Distance‐based reconstruction of protein quaternary structures from inter‐chain contacts7
Moving pictures: Reassessing docking experiments with a dynamic view of protein interfaces7
Conservation and coevolution determine evolvability of different classes of disordered residues in human intrinsically disordered proteins7
Surface salt bridges contribute to the extreme thermal stability of an FN3‐like domain from a thermophilic bacterium6
Insights into modular polyketide synthase loops aided by repetitive sequences6
Random, de novo, and conserved proteins: How structure and disorder predictors perform differently6
CASP15 cryo‐EM protein and RNA targets: Refinement and analysis using experimental maps6
Ca2+ ions facilitate the organization of the Annexin A2/S100A10 heterotetramer6
On the diversity of F420‐dependent oxidoreductases: A sequence‐ and structure‐based classification6
Proteome analysis of the circadian clock protein PERIOD26
Insights into mineralocorticoid receptor homodimerization from a combined molecular modeling and bioinformatics study6
Conformation of myelin basic protein bound to phosphatidylinositol membrane characterized by vacuum‐ultraviolet circular‐dichroism spectroscopy and molecular‐dynamics simulations6
The amyloid concentric β‐barrel hypothesis: Models of amyloid beta 42 oligomers and annular protofibrils6
Novel antimicrobial anionic cecropins from the spruce budworm feature a poly‐L‐aspartic acid C‐terminus6
Structural patterns in class 1 major histocompatibility complex‐restricted nonamer peptide binding to T‐cell receptors6
The amounts of thermal vibrations and static disorder in protein X‐ray crystallographic B‐factors6
Potential of mean force and umbrella sampling simulation for the transport of 5‐oxazolidinone in heterotetrameric sarcosine oxidase6
A computer aided drug discovery based discovery of lead‐like compounds against KDM5A for cancers using pharmacophore modeling and high‐throughput virtual screening6
RNA tertiary structure prediction in CASP15 by the GeneSilico group: Folding simulations based on statistical potentials and spatial restraints6
Are granulins copper sequestering proteins?6
Structures and interactions of insulin‐like peptides from cone snail venom6
Ligand‐induced transition in conformations of vicinal cysteine disulfides in proteins6
Crystal‐structures‐guided design of fragment‐based drugs for inhibiting the main protease of SARS‐CoV‐26
Introduction of a new scheme for classifying β‐turns in protein structures6
Predicting mutant outcome by combining deep mutational scanning and machine learning6
Circuit topology predicts pathogenicity of missense mutations6
Tripeptide loop closure: A detailed study of reconstructions based on Ramachandran distributions6
Can the jigsaw puzzle model of protein folding re‐assemble a hydrophobic core?6
Scoring of protein–protein docking models utilizing predicted interface residues6
Curcumin, a potential initiator of apoptosis via direct interactions with Bcl‐xL and Bid5
Inhibition of Mycobacterium tuberculosisInhA by 3‐nitropropanoic acid5
Characterization of glutamate‐cysteine ligase and glutathione synthetase from the δ‐proteobacterium Myxococcus xanthus5
The X‐ray crystal structure of human A15C neuroglobin reveals both native/de novo disulfide bonds and unexpected ligand‐binding sites5
Structural and functional analysis of the human cone‐rod homeobox transcription factor5
Study on functional sites in human multidrug resistance protein 1 (hMRP1)5
The protonation state of Glu202 in acetylcholinesterase5
Ebola virus protein VP40 binding to Sec24c for transport to the plasma membrane5
Influence of sequence length and charged residues on Swc5 binding with histone H2A‐H2B5
Ligands‐induced open‐close conformational change during DapE catalysis: Insights from molecular dynamics simulations5
New tyrosinases with putative action against contaminants of emerging concern5
Protein oligomer structure prediction using GALAXY in CASP145
Benchmarking of structure refinement methods for protein complex models5
Characterization of a triazole scaffold compound as an inhibitor of Mycobacterium tuberculosis imidazoleglycerol‐phosphate dehydratase5
Simplified geometric representations of protein structures identify complementary interaction interfaces5
Protein folding and unfolding: proline cistrans isomerization at the c subunits of F1FO‐ATPase might open a high conductance ion channel5
Structural evolution of the ancient enzyme, dissimilatory sulfite reductase5
Identification of key molecular players and associated pathways in cervical squamous cell carcinoma progression through network analysis5
Sequence and evolutionary analysis of bacterial ribosomal S1 proteins5
Scaling‐up a fragment‐based protein–protein interaction method using a human reference interaction set5
Ligand Binding Site ComparisonLiBiSCo — a web‐based tool for analyzing interactions between proteins and ligands to explore amino acid specificity within active sites5
Total free energy analysis of fully hydrated proteins5
CRMSNet: A deep learning model that uses convolution and residual multi‐head self‐attention block to predict RBPs for RNA sequence5
Protein dynamics analysis identifies candidate cancer driver genes and mutations inTCGAdata5
Influence of force field choice on the conformational landscape of rat and human islet amyloid polypeptide5
Pep–Whisperer: Inhibitory peptide design5
How phosphorylation of peptides affects their interaction with 14‐3‐3η domains5
The structure of the Clostridium thermocellum RsgI9 ectodomain provides insight into the mechanism of biomass sensing5
Exploring CCRL2 chemerin binding using accelerated molecular dynamics5
O‧‧‧C═O interaction, its occurrence and implications for protein structure and folding5
Molecular investigation of the tandem Tudor domain and plant homeodomain histone binding domains of the epigenetic regulator UHRF25
The role of leucine and isoleucine in tuning the hydropathy of class A GPCRs5
Catalytic and structural properties of ATP‐dependent caprolactamase from Pseudomonas jessenii5
Deciphering gp120 sequence variation and structural dynamics in HIV neutralization phenotype by molecular dynamics simulations and graph machine learning5
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