Year |
Citation |
Score |
2024 |
Read BJ, Mitchell JBO, da Silva RG. Allosteric activation unveils protein-mass modulation of ATP phosphoribosyltransferase product release. Communications Chemistry. 7: 77. PMID 38582930 DOI: 10.1038/s42004-024-01165-8 |
0.734 |
|
2023 |
Read BJ, Cadzow AF, Alphey MS, Mitchell JBO, da Silva RG. Crystal Structure, Steady-State, and Pre-Steady-State Kinetics of ATP Phosphoribosyltransferase. Biochemistry. PMID 38150593 DOI: 10.1021/acs.biochem.3c00551 |
0.743 |
|
2022 |
Shrimpton-Phoenix E, Mitchell J, Bühl M. Computational Insights into the Catalytic Mechanism of Is-PETase: An Enzyme Capable of degrading poly(ethylene) terephthalate. Chemistry (Weinheim An Der Bergstrasse, Germany). PMID 36112344 DOI: 10.1002/chem.202201728 |
0.752 |
|
2022 |
Mann P, Smith VA, Mitchell JBO, Dobson S. N-strain epidemic model using bond percolation. Physical Review. E. 106: 014304. PMID 35974532 DOI: 10.1103/PhysRevE.106.014304 |
0.626 |
|
2022 |
Videla Rodriguez EA, Pértille F, Guerrero-Bosagna C, Mitchell JBO, Jensen P, Smith VA. Practical application of a Bayesian network approach to poultry epigenetics and stress. Bmc Bioinformatics. 23: 261. PMID 35778683 DOI: 10.1186/s12859-022-04800-0 |
0.249 |
|
2022 |
Mann P, Smith VA, Mitchell JBO, Dobson S. Degree correlations in graphs with clique clustering. Physical Review. E. 105: 044314. PMID 35590545 DOI: 10.1103/PhysRevE.105.044314 |
0.616 |
|
2021 |
Read BJ, Fisher G, Wissett OLR, Machado TFG, Nicholson J, Mitchell JBO, da Silva RG. Allosteric Inhibition of ATP Phosphoribosyltransferase by Protein:Dipeptide and Protein:Protein Interactions. Acs Infectious Diseases. PMID 34928596 DOI: 10.1021/acsinfecdis.1c00539 |
0.748 |
|
2021 |
Mann P, Smith VA, Mitchell JBO, Dobson S. Symbiotic and antagonistic disease dynamics on networks using bond percolation. Physical Review. E. 104: 024303. PMID 34525561 DOI: 10.1103/PhysRevE.104.024303 |
0.616 |
|
2021 |
Mann P, Smith VA, Mitchell JBO, Jefferson C, Dobson S. Exact formula for bond percolation on cliques. Physical Review. E. 104: 024304. PMID 34525512 DOI: 10.1103/PhysRevE.104.024304 |
0.614 |
|
2021 |
Mann P, Smith VA, Mitchell JBO, Dobson S. Two-pathogen model with competition on clustered networks. Physical Review. E. 103: 062308. PMID 34271633 DOI: 10.1103/PhysRevE.103.062308 |
0.612 |
|
2021 |
Mann P, Smith VA, Mitchell JBO, Dobson S. Cooperative coinfection dynamics on clustered networks. Physical Review. E. 103: 042307. PMID 34005956 DOI: 10.1103/PhysRevE.103.042307 |
0.61 |
|
2021 |
Fowles DJ, Palmer DS, Guo R, Price SL, Mitchell JBO. Toward Physics-Based Solubility Computation for Pharmaceuticals to Rival Informatics. Journal of Chemical Theory and Computation. PMID 33988381 DOI: 10.1021/acs.jctc.1c00130 |
0.742 |
|
2021 |
Mann P, Smith VA, Mitchell JBO, Dobson S. Random graphs with arbitrary clustering and their applications. Physical Review. E. 103: 012309. PMID 33601615 DOI: 10.1103/PhysRevE.103.012309 |
0.619 |
|
2021 |
Mann P, Smith VA, Mitchell JBO, Dobson S. Percolation in random graphs with higher-order clustering. Physical Review. E. 103: 012313. PMID 33601539 DOI: 10.1103/PhysRevE.103.012313 |
0.619 |
|
2020 |
Mitchell JBO. Three machine learning models for the 2019 Solubility Challenge. Admet & Dmpk. 8: 215-250. PMID 35300305 DOI: 10.5599/admet.835 |
0.303 |
|
2020 |
Mitchell J. Three machine learning models for the 2019 Solubility Challenge Admet and Dmpk. DOI: 10.5599/Admet.835 |
0.346 |
|
2018 |
Addicoat M, Adjiman CS, Arhangelskis M, Beran GJO, Bowskill D, Brandenburg JG, Braun DE, Burger V, Cole J, Cruz-Cabeza AJ, Day GM, Deringer VL, Guo R, Hare A, Helfferich J, ... ... Mitchell JBO, et al. Crystal structure evaluation: calculating relative stabilities and other criteria: general discussion. Faraday Discussions. PMID 30302459 DOI: 10.1039/C8Fd90031K |
0.748 |
|
2018 |
Burger V, Claeyssens F, Davies DW, Day GM, Dyer MS, Hare A, Li Y, Mellot-Draznieks C, Mitchell JBO, Mohamed S, Oganov AR, Price SL, Ruggiero M, Ryder MR, Sastre G, et al. Applications of crystal structure prediction - inorganic and network structures: general discussion. Faraday Discussions. PMID 30298165 DOI: 10.1039/C8Fd90034E |
0.76 |
|
2018 |
Adjiman CS, Brandenburg JG, Braun DE, Cole J, Collins C, Cooper AI, Cruz-Cabeza AJ, Day GM, Dudek M, Hare A, Iuzzolino L, McKay D, Mitchell JBO, Mohamed S, Neelamraju S, et al. Applications of crystal structure prediction - organic molecular structures: general discussion. Faraday Discussions. PMID 30285020 DOI: 10.1039/C8Fd90032A |
0.764 |
|
2017 |
Boobier S, Osbourn A, Mitchell JBO. Can human experts predict solubility better than computers? Journal of Cheminformatics. 9: 63. PMID 29238891 DOI: 10.1186/s13321-017-0250-y |
0.311 |
|
2017 |
Mitchell JB. Enzyme function and its evolution. Current Opinion in Structural Biology. 47: 151-156. PMID 29107208 DOI: 10.1016/j.sbi.2017.10.004 |
0.393 |
|
2017 |
Vucicevic J, Nikolic K, Mitchell JBO. Rational drug design of antineoplastic agents using 3D-QSAR, cheminformatic, and virtual screening approaches. Current Medicinal Chemistry. PMID 28707592 DOI: 10.2174/0929867324666170712115411 |
0.236 |
|
2016 |
McDonagh J, Palmer DS, Van Mourik T, Mitchell JB. Are The Sublimation Thermodynamics of organic molecules predictable? Journal of Chemical Information and Modeling. PMID 27749062 DOI: 10.1021/acs.jcim.6b00033 |
0.787 |
|
2016 |
Chen AS, Westwood NJ, Brear P, Rogers GW, Mavridis L, Mitchell JB. A Random Forest Model for Predicting Allosteric and Functional Sites on Proteins. Molecular Informatics. 35: 125-35. PMID 27491922 DOI: 10.1002/Minf.201500108 |
0.789 |
|
2016 |
Nikolic K, Mavridis L, Djikic T, Vucicevic J, Agbaba D, Yelekci K, Mitchell JB. Drug Design for CNS Diseases: Polypharmacological Profiling of Compounds Using Cheminformatic, 3D-QSAR and Virtual Screening Methodologies. Frontiers in Neuroscience. 10: 265. PMID 27375423 DOI: 10.3389/Fnins.2016.00265 |
0.73 |
|
2015 |
Kew W, Mitchell JB. Greedy and Linear Ensembles of Machine Learning Methods Outperform Single Approaches for QSPR Regression Problems. Molecular Informatics. 34: 634-647. PMID 27490713 DOI: 10.1002/minf.201400122 |
0.307 |
|
2015 |
Beattie KE, De Ferrari L, Mitchell JB. Why do Sequence Signatures Predict Enzyme Mechanism? Homology versus Chemistry. Evolutionary Bioinformatics Online. 11: 267-74. PMID 26740739 DOI: 10.4137/EBO.S31482 |
0.388 |
|
2015 |
Mussa HY, De Ferrari L, Mitchell JB. Enzyme mechanism prediction: a template matching problem on InterPro signature subspaces. Bmc Research Notes. 8: 744. PMID 26634450 DOI: 10.1186/s13104-015-1730-7 |
0.393 |
|
2015 |
Mussa HY, Mitchell JB, Glen RC. A note on utilising binary features as ligand descriptors. Journal of Cheminformatics. 7: 58. PMID 26628925 DOI: 10.1186/S13321-015-0105-3 |
0.315 |
|
2015 |
Mussa HY, Mitchell JB, Afzal AM. The Parzen Window method: In terms of two vectors and one matrix. Pattern Recognition Letters. 63: 30-35. PMID 26435560 DOI: 10.1016/j.patrec.2015.06.002 |
0.263 |
|
2015 |
Mussa HY, Marcus D, Mitchell JB, Glen RC. Verifying the fully "Laplacianised" posterior Naïve Bayesian approach and more. Journal of Cheminformatics. 7: 27. PMID 26075027 DOI: 10.1186/S13321-015-0075-5 |
0.274 |
|
2015 |
Nikolic K, Mavridis L, Bautista-Aguilera OM, Marco-Contelles J, Stark H, do Carmo Carreiras M, Rossi I, Massarelli P, Agbaba D, Ramsay RR, Mitchell JB. Predicting targets of compounds against neurological diseases using cheminformatic methodology. Journal of Computer-Aided Molecular Design. 29: 183-98. PMID 25425329 DOI: 10.1007/S10822-014-9816-1 |
0.73 |
|
2014 |
Alderson RG, Barker D, Mitchell JB. One origin for metallo-β-lactamase activity, or two? An investigation assessing a diverse set of reconstructed ancestral sequences based on a sample of phylogenetic trees. Journal of Molecular Evolution. 79: 117-29. PMID 25185655 DOI: 10.1007/s00239-014-9639-7 |
0.761 |
|
2014 |
Palmer DS, Mitchell JB. Is experimental data quality the limiting factor in predicting the aqueous solubility of druglike molecules? Molecular Pharmaceutics. 11: 2962-72. PMID 24919008 DOI: 10.1021/mp500103r |
0.54 |
|
2014 |
De Ferrari L, Mitchell JB. From sequence to enzyme mechanism using multi-label machine learning. Bmc Bioinformatics. 15: 150. PMID 24885296 DOI: 10.1186/1471-2105-15-150 |
0.446 |
|
2014 |
Nath N, Mitchell JB, Caetano-Anollés G. The natural history of biocatalytic mechanisms. Plos Computational Biology. 10: e1003642. PMID 24874434 DOI: 10.1371/Journal.Pcbi.1003642 |
0.748 |
|
2014 |
McDonagh JL, Nath N, De Ferrari L, van Mourik T, Mitchell JB. Uniting cheminformatics and chemical theory to predict the intrinsic aqueous solubility of crystalline druglike molecules. Journal of Chemical Information and Modeling. 54: 844-56. PMID 24564264 DOI: 10.1021/Ci4005805 |
0.777 |
|
2014 |
Musayeva K, Henderson T, Mitchell JB, Mavridis L. PFClust: an optimised implementation of a parameter-free clustering algorithm. Source Code For Biology and Medicine. 9: 5. PMID 24490618 DOI: 10.1186/1751-0473-9-5 |
0.71 |
|
2013 |
Mussa HY, Mitchell JB, Glen RC. Full "Laplacianised" posterior naive Bayesian algorithm. Journal of Cheminformatics. 5: 37. PMID 23968281 DOI: 10.1186/1758-2946-5-37 |
0.254 |
|
2013 |
Koutsoukas A, Lowe R, Kalantarmotamedi Y, Mussa HY, Klaffke W, Mitchell JB, Glen RC, Bender A. In silico target predictions: defining a benchmarking data set and comparison of performance of the multiclass Naïve Bayes and Parzen-Rosenblatt window. Journal of Chemical Information and Modeling. 53: 1957-66. PMID 23829430 DOI: 10.1021/Ci300435J |
0.562 |
|
2013 |
Mavridis L, Nath N, Mitchell JB. PFClust: a novel parameter free clustering algorithm. Bmc Bioinformatics. 14: 213. PMID 23819480 DOI: 10.1186/1471-2105-14-213 |
0.753 |
|
2013 |
Mavridis L, Mitchell JB. Predicting the protein targets for athletic performance-enhancing substances. Journal of Cheminformatics. 5: 31. PMID 23800040 DOI: 10.1186/1758-2946-5-31 |
0.738 |
|
2012 |
Palmer DS, McDonagh JL, Mitchell JB, van Mourik T, Fedorov MV. First-Principles Calculation of the Intrinsic Aqueous Solubility of Crystalline Druglike Molecules. Journal of Chemical Theory and Computation. 8: 3322-3337. PMID 26605739 DOI: 10.1021/ct300345m |
0.775 |
|
2012 |
Alderson RG, De Ferrari L, Mavridis L, McDonagh JL, Mitchell JB, Nath N. Enzyme informatics. Current Topics in Medicinal Chemistry. 12: 1911-23. PMID 23116471 DOI: 10.2174/156802612804547353 |
0.763 |
|
2012 |
Ballester PJ, Mangold M, Howard NI, Robinson RL, Abell C, Blumberger J, Mitchell JB. Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identification. Journal of the Royal Society, Interface / the Royal Society. 9: 3196-207. PMID 22933186 DOI: 10.1098/Rsif.2012.0569 |
0.523 |
|
2012 |
Nath N, Mitchell JB. Is EC class predictable from reaction mechanism? Bmc Bioinformatics. 13: 60. PMID 22530800 DOI: 10.1186/1471-2105-13-60 |
0.745 |
|
2012 |
Lowe R, Mussa HY, Nigsch F, Glen RC, Mitchell JB. Predicting the mechanism of phospholipidosis. Journal of Cheminformatics. 4: 2. PMID 22281160 DOI: 10.1186/1758-2946-4-2 |
0.733 |
|
2011 |
Marchese Robinson RL, Glen RC, Mitchell JB. Development and Comparison of hERG Blocker Classifiers: Assessment on Different Datasets Yields Markedly Different Results. Molecular Informatics. 30: 443-58. PMID 27467090 DOI: 10.1002/Minf.201000159 |
0.321 |
|
2011 |
Bajorath J, Barreca ML, Bender A, Bryce R, Hutter M, Laggner C, Laughton C, Martin Y, Mitchell J, Padova A, Renner S, Selzer PM, Sherman W, Sippl W, Taft C, et al. Ask the experts: focus on computational chemistry. Future Medicinal Chemistry. 3: 909-921. PMID 21707395 DOI: 10.4155/Fmc.11.57 |
0.377 |
|
2011 |
Lowe R, Mussa HY, Mitchell JB, Glen RC. Classifying molecules using a sparse probabilistic kernel binary classifier. Journal of Chemical Information and Modeling. 51: 1539-44. PMID 21696153 DOI: 10.1021/Ci200128W |
0.522 |
|
2011 |
Holliday GL, Fischer JD, Mitchell JB, Thornton JM. Characterizing the complexity of enzymes on the basis of their mechanisms and structures with a bio-computational analysis. The Febs Journal. 278: 3835-45. PMID 21605342 DOI: 10.1111/J.1742-4658.2011.08190.X |
0.761 |
|
2011 |
Ballester PJ, Mitchell JB. Comments on "leave-cluster-out cross-validation is appropriate for scoring functions derived from diverse protein data sets": significance for the validation of scoring functions. Journal of Chemical Information and Modeling. 51: 1739-41. PMID 21591735 DOI: 10.1021/ci200057e |
0.535 |
|
2011 |
Mitchell JB. Informatics, machine learning and computational medicinal chemistry. Future Medicinal Chemistry. 3: 451-67. PMID 21452981 DOI: 10.4155/fmc.11.11 |
0.308 |
|
2011 |
Marchese Robinson RL, Glen RC, Mitchell JBO. Development and comparison of herg blocker classifiers: Assessment on different datasets yields markedly different results Molecular Informatics. 30: 443-458. DOI: 10.1002/minf.201000159 |
0.245 |
|
2010 |
Lowe R, Glen RC, Mitchell JB. Predicting phospholipidosis using machine learning. Molecular Pharmaceutics. 7: 1708-14. PMID 20799726 DOI: 10.1021/Mp100103E |
0.533 |
|
2010 |
Almonacid DE, Yera ER, Mitchell JB, Babbitt PC. Quantitative comparison of catalytic mechanisms and overall reactions in convergently evolved enzymes: implications for classification of enzyme function. Plos Computational Biology. 6: e1000700. PMID 20300652 DOI: 10.1371/Journal.Pcbi.1000700 |
0.753 |
|
2010 |
Ballester PJ, Mitchell JB. A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking. Bioinformatics (Oxford, England). 26: 1169-75. PMID 20236947 DOI: 10.1093/bioinformatics/btq112 |
0.585 |
|
2009 |
Blomberg LM, Mangold M, Mitchell JB, Blumberger J. Theoretical Study of the Reaction Mechanism of Streptomyces coelicolor Type II Dehydroquinase. Journal of Chemical Theory and Computation. 5: 1284-94. PMID 26609719 DOI: 10.1021/ct800480d |
0.345 |
|
2009 |
Holliday GL, Mitchell JB, Thornton JM. Understanding the functional roles of amino acid residues in enzyme catalysis. Journal of Molecular Biology. 390: 560-77. PMID 19447117 DOI: 10.1016/J.Jmb.2009.05.015 |
0.728 |
|
2009 |
Nigsch F, Macaluso NJ, Mitchell JB, Zmuidinavicius D. Computational toxicology: an overview of the sources of data and of modelling methods. Expert Opinion On Drug Metabolism & Toxicology. 5: 1-14. PMID 19236225 DOI: 10.1517/17425250802660467 |
0.649 |
|
2008 |
Nigsch F, Bender A, Jenkins JL, Mitchell JB. Ligand-target prediction using Winnow and naive Bayesian algorithms and the implications of overall performance statistics. Journal of Chemical Information and Modeling. 48: 2313-25. PMID 19055411 DOI: 10.1021/Ci800079X |
0.69 |
|
2008 |
O'Boyle NM, Palmer DS, Nigsch F, Mitchell JB. Simultaneous feature selection and parameter optimisation using an artificial ant colony: case study of melting point prediction. Chemistry Central Journal. 2: 21. PMID 18959785 DOI: 10.1186/1752-153X-2-21 |
0.774 |
|
2008 |
Nigsch F, Mitchell JB. Toxicological relationships between proteins obtained from protein target predictions of large toxicity databases. Toxicology and Applied Pharmacology. 231: 225-34. PMID 18589467 DOI: 10.1016/J.Taap.2008.05.007 |
0.698 |
|
2008 |
Palmer DS, Llinàs A, Morao I, Day GM, Goodman JM, Glen RC, Mitchell JB. Predicting intrinsic aqueous solubility by a thermodynamic cycle. Molecular Pharmaceutics. 5: 266-79. PMID 18290628 DOI: 10.1021/Mp7000878 |
0.689 |
|
2008 |
Cannon EO, Nigsch F, Mitchell JB. A novel hybrid ultrafast shape descriptor method for use in virtual screening. Chemistry Central Journal. 2: 3. PMID 18282294 DOI: 10.1186/1752-153X-2-3 |
0.653 |
|
2008 |
Nigsch F, Mitchell JB. How to winnow actives from inactives: introducing molecular orthogonal sparse bigrams (MOSBs) and multiclass Winnow. Journal of Chemical Information and Modeling. 48: 306-18. PMID 18220378 DOI: 10.1021/Ci700350N |
0.68 |
|
2008 |
Hughes LD, Palmer DS, Nigsch F, Mitchell JB. Why are some properties more difficult to predict than others? A study of QSPR models of solubility, melting point, and Log P. Journal of Chemical Information and Modeling. 48: 220-32. PMID 18186622 DOI: 10.1021/Ci700307P |
0.739 |
|
2007 |
Holliday GL, Almonacid DE, Mitchell JB, Thornton JM. The chemistry of protein catalysis. Journal of Molecular Biology. 372: 1261-77. PMID 17727879 DOI: 10.1016/J.Jmb.2007.07.034 |
0.799 |
|
2007 |
Torrance JW, Holliday GL, Mitchell JB, Thornton JM. The geometry of interactions between catalytic residues and their substrates. Journal of Molecular Biology. 369: 1140-52. PMID 17466330 DOI: 10.1016/J.Jmb.2007.03.055 |
0.772 |
|
2007 |
O'Boyle NM, Holliday GL, Almonacid DE, Mitchell JB. Using reaction mechanism to measure enzyme similarity. Journal of Molecular Biology. 368: 1484-99. PMID 17400244 DOI: 10.1016/j.jmb.2007.02.065 |
0.786 |
|
2007 |
Cannon EO, Amini A, Bender A, Sternberg MJ, Muggleton SH, Glen RC, Mitchell JB. Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. Journal of Computer-Aided Molecular Design. 21: 269-80. PMID 17387437 DOI: 10.1007/S10822-007-9113-3 |
0.317 |
|
2007 |
Konstantinou-Kirtay C, Mitchell JB, Lumley JA. Scoring functions and enrichment: a case study on Hsp90. Bmc Bioinformatics. 8: 27. PMID 17257425 DOI: 10.1186/1471-2105-8-27 |
0.273 |
|
2007 |
Palmer DS, O'Boyle NM, Glen RC, Mitchell JB. Random forest models to predict aqueous solubility. Journal of Chemical Information and Modeling. 47: 150-8. PMID 17238260 DOI: 10.1021/Ci060164K |
0.759 |
|
2007 |
Holliday GL, Almonacid DE, Bartlett GJ, O'Boyle NM, Torrance JW, Murray-Rust P, Mitchell JB, Thornton JM. MACiE (Mechanism, Annotation and Classification in Enzymes): novel tools for searching catalytic mechanisms. Nucleic Acids Research. 35: D515-20. PMID 17082206 DOI: 10.1093/Nar/Gkl774 |
0.786 |
|
2006 |
Nigsch F, Bender A, van Buuren B, Tissen J, Nigsch E, Mitchell JB. Melting point prediction employing k-nearest neighbor algorithms and genetic parameter optimization. Journal of Chemical Information and Modeling. 46: 2412-22. PMID 17125183 DOI: 10.1021/Ci060149F |
0.683 |
|
2006 |
Cannon EO, Bender A, Palmer DS, Mitchell JB. Chemoinformatics-based classification of prohibited substances employed for doping in sport. Journal of Chemical Information and Modeling. 46: 2369-80. PMID 17125180 DOI: 10.1021/Ci0601160 |
0.534 |
|
2005 |
Holliday GL, Bartlett GJ, Almonacid DE, O'Boyle NM, Murray-Rust P, Thornton JM, Mitchell JB. MACiE: a database of enzyme reaction mechanisms. Bioinformatics (Oxford, England). 21: 4315-6. PMID 16188925 DOI: 10.1093/Bioinformatics/Bti693 |
0.788 |
|
2005 |
Murray-Rust P, Mitchell JB, Rzepa HS. Communication and re-use of chemical information in bioscience. Bmc Bioinformatics. 6: 180. PMID 16026614 DOI: 10.1186/1471-2105-6-180 |
0.283 |
|
2005 |
Murray-Rust P, Mitchell JB, Rzepa HS. Chemistry in bioinformatics. Bmc Bioinformatics. 6: 141. PMID 15941476 DOI: 10.1186/1471-2105-6-141 |
0.255 |
|
2004 |
Marsden PM, Puvanendrampillai D, Mitchell JB, Glen RC. Predicting protein-ligand binding affinities: a low scoring game? Organic & Biomolecular Chemistry. 2: 3267-73. PMID 15534704 DOI: 10.1039/B409570G |
0.76 |
|
2004 |
Takane SY, Mitchell JB. A structure-odour relationship study using EVA descriptors and hierarchical clustering. Organic & Biomolecular Chemistry. 2: 3250-5. PMID 15534702 DOI: 10.1039/B409802A |
0.26 |
|
2003 |
Ouvrard C, Mitchell JB. Can we predict lattice energy from molecular structure? Acta Crystallographica. Section B, Structural Science. 59: 676-85. PMID 14586090 |
0.304 |
|
2003 |
Puvanendrampillai D, Mitchell JB. L/D Protein Ligand Database (PLD): additional understanding of the nature and specificity of protein-ligand complexes. Bioinformatics (Oxford, England). 19: 1856-7. PMID 14512362 DOI: 10.1093/Bioinformatics/Btg243 |
0.755 |
|
2003 |
Mitchell JB, Smith J. D-amino acid residues in peptides and proteins. Proteins. 50: 563-71. PMID 12577262 DOI: 10.1002/prot.10320 |
0.257 |
|
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