Artículos de revistas sobre el tema "Protein binding – Mathematical models"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Protein binding – Mathematical models".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Palacio-Castañeda, Valentina, Simon Dumas, Philipp Albrecht, Thijmen J. Wijgers, Stéphanie Descroix y Wouter P. R. Verdurmen. "A Hybrid In Silico and Tumor-on-a-Chip Approach to Model Targeted Protein Behavior in 3D Microenvironments". Cancers 13, n.º 10 (18 de mayo de 2021): 2461. http://dx.doi.org/10.3390/cancers13102461.
Texto completoMiddendorf, Thomas R. y Richard W. Aldrich. "Structural identifiability of equilibrium ligand-binding parameters". Journal of General Physiology 149, n.º 1 (19 de diciembre de 2016): 105–19. http://dx.doi.org/10.1085/jgp.201611702.
Texto completoPremarathna, Galkande Iresha y Leif Ellingson. "A mathematical representation of protein binding sites using structural dispersion of atoms from principal axes for classification of binding ligands". PLOS ONE 16, n.º 4 (8 de abril de 2021): e0244905. http://dx.doi.org/10.1371/journal.pone.0244905.
Texto completoRuan, Shuxiang y Gary D. Stormo. "Inherent limitations of probabilistic models for protein-DNA binding specificity". PLOS Computational Biology 13, n.º 7 (7 de julio de 2017): e1005638. http://dx.doi.org/10.1371/journal.pcbi.1005638.
Texto completoSedaghat, Ahmad R., Arthur Sherman y Michael J. Quon. "A mathematical model of metabolic insulin signaling pathways". American Journal of Physiology-Endocrinology and Metabolism 283, n.º 5 (1 de noviembre de 2002): E1084—E1101. http://dx.doi.org/10.1152/ajpendo.00571.2001.
Texto completoKimchi, Ofer, Carl P. Goodrich, Alexis Courbet, Agnese I. Curatolo, Nicholas B. Woodall, David Baker y Michael P. Brenner. "Self-assembly–based posttranslational protein oscillators". Science Advances 6, n.º 51 (diciembre de 2020): eabc1939. http://dx.doi.org/10.1126/sciadv.abc1939.
Texto completoWang, Debby D., Haoran Xie y Hong Yan. "Proteo-chemometrics interaction fingerprints of protein–ligand complexes predict binding affinity". Bioinformatics 37, n.º 17 (27 de febrero de 2021): 2570–79. http://dx.doi.org/10.1093/bioinformatics/btab132.
Texto completoConradi Smith, Gregory Douglas. "Allostery in oligomeric receptor models". Mathematical Medicine and Biology: A Journal of the IMA 37, n.º 3 (10 de diciembre de 2019): 313–33. http://dx.doi.org/10.1093/imammb/dqz016.
Texto completoJiang, Yao, Hui-Fang Liu y Rong Liu. "Systematic comparison and prediction of the effects of missense mutations on protein-DNA and protein-RNA interactions". PLOS Computational Biology 17, n.º 4 (19 de abril de 2021): e1008951. http://dx.doi.org/10.1371/journal.pcbi.1008951.
Texto completoSohrabi-Jahromi, Salma y Johannes Söding. "Thermodynamic modeling reveals widespread multivalent binding by RNA-binding proteins". Bioinformatics 37, Supplement_1 (1 de julio de 2021): i308—i316. http://dx.doi.org/10.1093/bioinformatics/btab300.
Texto completoFreedman, Simon L., Cristian Suarez, Jonathan D. Winkelman, David R. Kovar, Gregory A. Voth, Aaron R. Dinner y Glen M. Hocky. "Mechanical and kinetic factors drive sorting of F-actin cross-linkers on bundles". Proceedings of the National Academy of Sciences 116, n.º 33 (25 de julio de 2019): 16192–97. http://dx.doi.org/10.1073/pnas.1820814116.
Texto completoCortes, Eliceo, José Mora y Edgar Márquez. "Modelling the Anti-Methicillin-Resistant Staphylococcus Aureus (MRSA) Activity of Cannabinoids: A QSAR and Docking Study". Crystals 10, n.º 8 (11 de agosto de 2020): 692. http://dx.doi.org/10.3390/cryst10080692.
Texto completoDéchaud, H., H. Lejeune, M. Garoscio-Cholet, R. Mallein y M. Pugeat. "Radioimmunoassay of testosterone not bound to sex-steroid-binding protein in plasma." Clinical Chemistry 35, n.º 8 (1 de agosto de 1989): 1609–14. http://dx.doi.org/10.1093/clinchem/35.8.1609.
Texto completoYamada, Naomi, William K. M. Lai, Nina Farrell, B. Franklin Pugh y Shaun Mahony. "Characterizing protein–DNA binding event subtypes in ChIP-exo data". Bioinformatics 35, n.º 6 (28 de agosto de 2018): 903–13. http://dx.doi.org/10.1093/bioinformatics/bty703.
Texto completoAhmed, Asad, Bhavika Mam y Ramanathan Sowdhamini. "DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity". Bioinformatics and Biology Insights 15 (enero de 2021): 117793222110303. http://dx.doi.org/10.1177/11779322211030364.
Texto completoMichelson, Seth. "Multidrug Resistance and Its Reversal: Mathenatical Models". Journal of Theoretical Medicine 1, n.º 2 (1997): 103–15. http://dx.doi.org/10.1080/10273669708833011.
Texto completoErban, Radek. "From molecular dynamics to Brownian dynamics". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 470, n.º 2167 (8 de julio de 2014): 20140036. http://dx.doi.org/10.1098/rspa.2014.0036.
Texto completoGarcea, Robert L. "Biologic Constraints on Modelling Virus Assembly". Computational and Mathematical Methods in Medicine 9, n.º 3-4 (2008): 257–64. http://dx.doi.org/10.1080/17486700802168007.
Texto completoZhang, Linda Yu, Emilio Gallicchio, Richard A. Friesner y Ronald M. Levy. "Solvent models for protein-ligand binding: Comparison of implicit solvent poisson and surface generalized born models with explicit solvent simulations". Journal of Computational Chemistry 22, n.º 6 (2001): 591–607. http://dx.doi.org/10.1002/jcc.1031.
Texto completoRasmusson, R. L., J. W. Clark, W. R. Giles, E. F. Shibata y D. L. Campbell. "A mathematical model of a bullfrog cardiac pacemaker cell". American Journal of Physiology-Heart and Circulatory Physiology 259, n.º 2 (1 de agosto de 1990): H352—H369. http://dx.doi.org/10.1152/ajpheart.1990.259.2.h352.
Texto completoCholewa-Waclaw, Justyna, Ruth Shah, Shaun Webb, Kashyap Chhatbar, Bernard Ramsahoye, Oliver Pusch, Miao Yu, Philip Greulich, Bartlomiej Waclaw y Adrian P. Bird. "Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic". Proceedings of the National Academy of Sciences 116, n.º 30 (9 de julio de 2019): 14995–5000. http://dx.doi.org/10.1073/pnas.1903549116.
Texto completoLai, Hien T. T., Do Minh Ha, Duc Manh Nguyen y Toan T. Nguyen. "Homology modeling of mouse NLRP3 NACHT protein domain and molecular dynamics simulation of its ATP binding properties". International Journal of Modern Physics C 31, n.º 03 (8 de enero de 2020): 2050036. http://dx.doi.org/10.1142/s0129183120500369.
Texto completoZhang, Fuhao, Wenbo Shi, Jian Zhang, Min Zeng, Min Li y Lukasz Kurgan. "PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection". Bioinformatics 36, Supplement_2 (diciembre de 2020): i735—i744. http://dx.doi.org/10.1093/bioinformatics/btaa806.
Texto completoTrott, L., M. Hafezparast y A. Madzvamuse. "A mathematical understanding of how cytoplasmic dynein walks on microtubules". Royal Society Open Science 5, n.º 8 (agosto de 2018): 171568. http://dx.doi.org/10.1098/rsos.171568.
Texto completoRomero-Durana, Miguel, Brian Jiménez-García y Juan Fernández-Recio. "pyDockEneRes: per-residue decomposition of protein–protein docking energy". Bioinformatics 36, n.º 7 (6 de diciembre de 2019): 2284–85. http://dx.doi.org/10.1093/bioinformatics/btz884.
Texto completoShi, Wentao, Jeffrey M. Lemoine, Abd-El-Monsif A. Shawky, Manali Singha, Limeng Pu, Shuangyan Yang, J. Ramanujam y Michal Brylinski. "BionoiNet: ligand-binding site classification with off-the-shelf deep neural network". Bioinformatics 36, n.º 10 (13 de febrero de 2020): 3077–83. http://dx.doi.org/10.1093/bioinformatics/btaa094.
Texto completoYan, Zichao, William L. Hamilton y Mathieu Blanchette. "Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions". Bioinformatics 36, Supplement_1 (1 de julio de 2020): i276—i284. http://dx.doi.org/10.1093/bioinformatics/btaa456.
Texto completoZhang, Jian, Sina Ghadermarzi y Lukasz Kurgan. "Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins". Bioinformatics 36, n.º 18 (17 de junio de 2020): 4729–38. http://dx.doi.org/10.1093/bioinformatics/btaa573.
Texto completoSACHSE, F. B., K. G. GLÄNZEL y G. SEEMANN. "MODELING OF PROTEIN INTERACTIONS INVOLVED IN CARDIAC TENSION DEVELOPMENT". International Journal of Bifurcation and Chaos 13, n.º 12 (diciembre de 2003): 3561–78. http://dx.doi.org/10.1142/s0218127403008855.
Texto completoLu, Wei, Carlos Bueno, Nicholas P. Schafer, Joshua Moller, Shikai Jin, Xun Chen, Mingchen Chen et al. "OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations". PLOS Computational Biology 17, n.º 2 (12 de febrero de 2021): e1008308. http://dx.doi.org/10.1371/journal.pcbi.1008308.
Texto completoSantana, Charles A., Sabrina de A. Silveira, João P. A. Moraes, Sandro C. Izidoro, Raquel C. de Melo-Minardi, António J. M. Ribeiro, Jonathan D. Tyzack, Neera Borkakoti y Janet M. Thornton. "GRaSP: a graph-based residue neighborhood strategy to predict binding sites". Bioinformatics 36, Supplement_2 (diciembre de 2020): i726—i734. http://dx.doi.org/10.1093/bioinformatics/btaa805.
Texto completoRubinstein, Boris Y., Henry H. Mattingly, Alexander M. Berezhkovskii y Stanislav Y. Shvartsman. "Long-term dynamics of multisite phosphorylation". Molecular Biology of the Cell 27, n.º 14 (15 de julio de 2016): 2331–40. http://dx.doi.org/10.1091/mbc.e16-03-0137.
Texto completoNorris, Noele, Naomi M. Levine, Vicente I. Fernandez y Roman Stocker. "Mechanistic model of nutrient uptake explains dichotomy between marine oligotrophic and copiotrophic bacteria". PLOS Computational Biology 17, n.º 5 (19 de mayo de 2021): e1009023. http://dx.doi.org/10.1371/journal.pcbi.1009023.
Texto completoYoung, David J., Jun O. Liu y Donald Small. "Combinatorial Approaches to Overcome Plasma Protein Inhibition of FLT3 Tyrosine Kinase Inhibitors". Blood 132, Supplement 1 (29 de noviembre de 2018): 1362. http://dx.doi.org/10.1182/blood-2018-99-118820.
Texto completoMullins, R. Dyche, Walter F. Stafford y Thomas D. Pollard. "Structure, Subunit Topology, and Actin-binding Activity of the Arp2/3 Complex from Acanthamoeba". Journal of Cell Biology 136, n.º 2 (27 de enero de 1997): 331–43. http://dx.doi.org/10.1083/jcb.136.2.331.
Texto completoTesei, Giulio, João M. Martins, Micha B. A. Kunze, Yong Wang, Ramon Crehuet y Kresten Lindorff-Larsen. "DEER-PREdict: Software for efficient calculation of spin-labeling EPR and NMR data from conformational ensembles". PLOS Computational Biology 17, n.º 1 (22 de enero de 2021): e1008551. http://dx.doi.org/10.1371/journal.pcbi.1008551.
Texto completoGonzález, Janneth, Angela Gálvez, Ludis Morales, George E. Barreto, Francisco Capani, Omar Sierra y Yolima Torres. "Integrative Approach for Computationally Inferring Interactions between the Alpha and Beta Subunits of the Calcium-Activated Potassium Channel (BK): A Docking Study". Bioinformatics and Biology Insights 7 (enero de 2013): BBI.S10077. http://dx.doi.org/10.4137/bbi.s10077.
Texto completoVijayakrishnan, Swetha, Philip Callow, Margaret A. Nutley, Donna P. McGow, David Gilbert, Peter Kropholler, Alan Cooper, Olwyn Byron y J. Gordon Lindsay. "Variation in the organization and subunit composition of the mammalian pyruvate dehydrogenase complex E2/E3BP core assembly". Biochemical Journal 437, n.º 3 (13 de julio de 2011): 565–74. http://dx.doi.org/10.1042/bj20101784.
Texto completoBicknell, Brendan A. y Geoffrey J. Goodhill. "Emergence of ion channel modal gating from independent subunit kinetics". Proceedings of the National Academy of Sciences 113, n.º 36 (22 de agosto de 2016): E5288—E5297. http://dx.doi.org/10.1073/pnas.1604090113.
Texto completoBernard, Samuel, Branka Čajavec, Laurent Pujo-Menjouet, Michael C. Mackey y Hanspeter Herzel. "Modelling transcriptional feedback loops: the role of Gro/TLE1 in Hes1 oscillations". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 364, n.º 1842 (21 de marzo de 2006): 1155–70. http://dx.doi.org/10.1098/rsta.2006.1761.
Texto completoJha, Amrita y Neeru Adlakha. "Two-dimensional finite element model to study unsteady state Ca2+ diffusion in neuron involving ER LEAK and SERCA". International Journal of Biomathematics 08, n.º 01 (enero de 2015): 1550002. http://dx.doi.org/10.1142/s1793524515500023.
Texto completoKapla, Jon, Ismael Rodríguez-Espigares, Flavio Ballante, Jana Selent y Jens Carlsson. "Can molecular dynamics simulations improve the structural accuracy and virtual screening performance of GPCR models?" PLOS Computational Biology 17, n.º 5 (13 de mayo de 2021): e1008936. http://dx.doi.org/10.1371/journal.pcbi.1008936.
Texto completoAsif, Maor y Yaron Orenstein. "DeepSELEX: inferring DNA-binding preferences from HT-SELEX data using multi-class CNNs". Bioinformatics 36, Supplement_2 (diciembre de 2020): i634—i642. http://dx.doi.org/10.1093/bioinformatics/btaa789.
Texto completoIgashov, Ilia, Kliment Olechnovič, Maria Kadukova, Česlovas Venclovas y Sergei Grudinin. "VoroCNN: deep convolutional neural network built on 3D Voronoi tessellation of protein structures". Bioinformatics 37, n.º 16 (23 de febrero de 2021): 2332–39. http://dx.doi.org/10.1093/bioinformatics/btab118.
Texto completoBrown, Aidan I. y Elena F. Koslover. "Design principles for the glycoprotein quality control pathway". PLOS Computational Biology 17, n.º 2 (1 de febrero de 2021): e1008654. http://dx.doi.org/10.1371/journal.pcbi.1008654.
Texto completoChen, Peng, Tong Shen, Youzhi Zhang y Bing Wang. "A Sequence-segment Neighbor Encoding Schema for Protein Hotspot Residue Prediction". Current Bioinformatics 15, n.º 5 (14 de octubre de 2020): 445–54. http://dx.doi.org/10.2174/1574893615666200106115421.
Texto completoLiu, Yang, Xia-hui Ouyang, Zhi-Xiong Xiao, Le Zhang y Yang Cao. "A Review on the Methods of Peptide-MHC Binding Prediction". Current Bioinformatics 15, n.º 8 (1 de enero de 2021): 878–88. http://dx.doi.org/10.2174/1574893615999200429122801.
Texto completoJiang, Hanlun, Fu Kit Sheong, Lizhe Zhu, Xin Gao, Julie Bernauer y Xuhui Huang. "Markov State Models Reveal a Two-Step Mechanism of miRNA Loading into the Human Argonaute Protein: Selective Binding followed by Structural Re-arrangement". PLOS Computational Biology 11, n.º 7 (16 de julio de 2015): e1004404. http://dx.doi.org/10.1371/journal.pcbi.1004404.
Texto completoKoide, Hiroki, Noriyuki Kodera, Shveta Bisht, Shoji Takada y Tsuyoshi Terakawa. "Modeling of DNA binding to the condensin hinge domain using molecular dynamics simulations guided by atomic force microscopy". PLOS Computational Biology 17, n.º 7 (30 de julio de 2021): e1009265. http://dx.doi.org/10.1371/journal.pcbi.1009265.
Texto completoWANG, ZHI-XIANG y YONG DUAN. "DIRECT INTERACTION ENERGY: A COMPUTATIONAL QUANTITY FOR PARAMETERIZATION OF CONDENSED-PHASE FORCE FIELDS AND ITS APPLICATION TO HYDROGEN BONDING". Journal of Theoretical and Computational Chemistry 04, spec01 (enero de 2005): 689–705. http://dx.doi.org/10.1142/s0219633605001726.
Texto completo