Proteins-Structure Function and Bioinformatics

Papers
(The H4-Index of Proteins-Structure Function and Bioinformatics is 29. 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
Assessment of three‐dimensional RNA structure prediction in CASP1532
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
Protein sequence‐to‐structure learning: Is this the end(‐to‐end revolution)?30
Predicting protein flexibility with AlphaFold30
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
When homologous sequences meet structural decoys: Accurate contact prediction by tFold in CASP14—(tFold for CASP14 contact prediction)29
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