| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | conf/ismb/CapriottiFC04 |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTH928 |
| P698 | PubMed publication ID | 15262782 |
| P5875 | ResearchGate publication ID | 8446361 |
| P50 | author | Rita Casadio | Q28946169 |
| Emidio Capriotti | Q42034988 | ||
| Piero Fariselli | Q56455923 | ||
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | i63-8 | |
| P577 | publication date | 2004-08-01 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | A neural-network-based method for predicting protein stability changes upon single point mutations. | |
| P478 | volume | 20 Suppl 1 |
| Q42034929 | A new disease-specific machine learning approach for the prediction of cancer-causing missense variants |
| Q33358983 | A novel mutation in TFL1 homolog affecting determinacy in cowpea (Vigna unguiculata). |
| Q51897379 | A structural bioinformatics approach to the analysis of nonsynonymous single nucleotide polymorphisms (nsSNPs) and their relation to disease. |
| Q30368637 | A three-state prediction of single point mutations on protein stability changes. |
| Q30370720 | Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis. |
| Q38775661 | Advantages of Structure-Based Drug design Approaches in Neurological Disorders |
| Q21284966 | Analyzing effects of naturally occurring missense mutations |
| Q40718935 | BALL-SNP: combining genetic and structural information to identify candidate non-synonymous single nucleotide polymorphisms. |
| Q35051893 | Bioinformatics challenges for personalized medicine |
| Q28728835 | Bioinformatics for personal genome interpretation |
| Q30355535 | CUPSAT: prediction of protein stability upon point mutations. |
| Q30397546 | Characterization of the sheep Complement Factor B gene (CFB). |
| Q28543126 | Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutation |
| Q38121517 | Computational SNP analysis: current approaches and future prospects |
| Q33907569 | Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnostics |
| Q38829916 | Computational approaches for predicting mutant protein stability |
| Q33294495 | Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development |
| Q90969189 | Convolution Neural Network-Based Prediction of Protein Thermostability |
| Q41886851 | DUET: a server for predicting effects of mutations on protein stability using an integrated computational approach. |
| Q30394373 | Disease risk of missense mutations using structural inference from predicted function |
| Q37114305 | Effects of glycosylation on the stability of protein pharmaceuticals |
| Q89026350 | Exploring the selective vulnerability in Alzheimer disease using tissue specific variant analysis |
| Q37053442 | Extrapolating the effect of deleterious nsSNPs in the binding adaptability of flavopiridol with CDK7 protein: a molecular dynamics approach |
| Q33851583 | Feature-based multiple models improve classification of mutation-induced stability changes |
| Q35208132 | Genotype-property patient-phenotype relations suggest that proteome exhaustion can cause amyotrophic lateral sclerosis |
| Q34204573 | Grading amino acid properties increased accuracies of single point mutation on protein stability prediction. |
| Q37845731 | High-throughput structural biology of metabolic enzymes and its impact on human diseases |
| Q30388182 | Human allelic variation: perspective from protein function, structure, and evolution |
| Q24812223 | I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure |
| Q30408049 | Improving the prediction of disease-related variants using protein three-dimensional structure |
| Q30383747 | In silico functional dissection of saturation mutagenesis: Interpreting the relationship between phenotypes and changes in protein stability, interactions and activity. |
| Q33511366 | Machine learning integration for predicting the effect of single amino acid substitutions on protein stability |
| Q30400158 | Meet me halfway: when genomics meets structural bioinformatics |
| Q39951577 | On human disease-causing amino acid variants: statistical study of sequence and structural patterns |
| Q30386719 | Performance of protein stability predictors. |
| Q42036836 | Predicted effects of missense mutations on native-state stability account for phenotypic outcome in phenylketonuria, a paradigm of misfolding diseases |
| Q33624237 | Predicting changes in protein thermostability brought about by single- or multi-site mutations |
| Q35789039 | Predicting folding free energy changes upon single point mutations |
| Q30394377 | Predicting the melting point of human C-type lysozyme mutants |
| Q33305726 | Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines |
| Q44916351 | Predicting the transactivation activity of p53 missense mutants using a four-body potential score derived from Delaunay tessellations |
| Q30383801 | Prediction of functionally significant single nucleotide polymorphisms [SNPs] in PTEN tumor suppressor gene: An in silico approach. |
| Q30401819 | Prediction of protein mutation effects based on dehydration and hydrogen bonding - A large-scale study |
| Q43057880 | Prediction of protein thermostability with a direction- and distance-dependent knowledge-based potential |
| Q39619060 | Predictive mutational bioinformatic analysis of variation in the skin and wool associated corneodesmosin (CDSN) gene in sheep |
| Q64273425 | Protein engineering approaches for antibody fragments: directed evolution and rational design approaches |
| Q34656376 | Quantitative design of regulatory elements based on high-precision strength prediction using artificial neural network. |
| Q44608182 | Reliable prediction of protein thermostability change upon double mutation from amino acid sequence |
| Q47074081 | Replacement of buried cysteine from zebrafish Cu/Zn superoxide dismutase and enhancement of its stability via site-directed mutagenesis |
| Q92445284 | Robust Prediction of Single and Multiple Point Protein Mutations Stability Changes |
| Q30402863 | SDM--a server for predicting effects of mutations on protein stability and malfunction |
| Q38774417 | SDM: a server for predicting effects of mutations on protein stability |
| Q34631704 | SNAP: predict effect of non-synonymous polymorphisms on function |
| Q51035953 | Sequence analysis and rule development of predicting protein stability change upon mutation using decision tree model. |
| Q33737049 | Sequence feature-based prediction of protein stability changes upon amino acid substitutions |
| Q30426634 | Sequence-only evolutionary and predicted structural features for the prediction of stability changes in protein mutants |
| Q64273189 | Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases |
| Q45960064 | Structure-based prediction of the effects of a missense variant on protein stability. |
| Q46387774 | Superoxide dismutase 1 is positively selected to minimize protein aggregation in great apes |
| Q36114159 | The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited Disease |
| Q33715655 | Towards sequence-based prediction of mutation-induced stability changes in unseen non-homologous proteins |
| Q34383949 | VariBench: a benchmark database for variations |
| Q34518645 | Variation Interpretation Predictors: Principles, Types, Performance, and Choice |
| Q51040508 | iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations. |
| Q90746751 | iStable 2.0: Predicting protein thermal stability changes by integrating various characteristic modules |
| Q34569943 | iStable: off-the-shelf predictor integration for predicting protein stability changes |
Search more.