-
1
المؤلفون: Pozzati, Gabriele, Kundrotas, Petras, Elofsson, Arne, 1966
المصدر: Proteins. 90(7):1493-1505
مصطلحات موضوعية: protein bioinformatics, protein docking, protein interaction predictions, protein structure predictions, protein-protein interactions
وصف الملف: print
-
2دورية أكاديمية
المساهمون: Baker, David [Univ. of Washington, Seattle, WA (United States). Dept. of Biochemistry. Inst. for Protein Design. Howard Hughes Medical Inst.]
المصدر: Nature (London); 528; 7583
وصف الملف: Medium: ED; Size: p. 580-584
-
3دورية أكاديمية
المؤلفون: Luciana Esposito, Nicole Balasco, Giovanni Smaldone, Rita Berisio, Alessia Ruggiero, Luigi Vitagliano
المصدر: Biomolecules, Vol 11, Iss 12, p 1862 (2021)
مصطلحات موضوعية: protein structure predictions, structure-based evolutionary trees, protein structure function, Microbiology, QR1-502
وصف الملف: electronic resource
-
4
المؤلفون: Julia Rahman, M. A. Hakim Newton, Md Khaled Ben Islam, Abdul Sattar
المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Scientific Reportsمصطلحات موضوعية: Models, Molecular, Multidisciplinary, Science, Datasets as Topic, Proteins, Article, Deep Learning, Sequence Analysis, Protein, Protein structure predictions, Computational models, Medicine, Amino Acid Sequence, Neural Networks, Computer
-
5
المساهمون: Biophysics Program, Stanford University, Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Laboratoire Jean Perrin (LJP), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL), Institute of Bioengineering [Lausanne, Suisse], Ecole Polytechnique Fédérale de Lausanne (EPFL), Department of Microbiology and Immunology [Stanford], Department of Bioengineering [Stanford], Chan Zuckerberg BioHub [San Francisco, CA], Gestionnaire, Hal Sorbonne Université
المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Scientific Reports
Scientific Reports, 2022, 12 (1), pp.820. ⟨10.1038/s41598-021-04260-1⟩مصطلحات موضوعية: hot-spots, Multidisciplinary, Models, Genetic, Science, Proteins, prediction, residue contacts, Protein function predictions, mutations, Article, information, Evolution, Molecular, protein-kinase cascades, evolutionary trace, Protein structure predictions, identification, Medicine, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], actin, domains, Phylogeny, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Coevolution
وصف الملف: application/pdf
-
6
المؤلفون: Tomer Tsaban, Julia K. Varga, Orly Avraham, Ziv Ben-Aharon, Alisa Khramushin, Ora Schueler-Furman
المصدر: Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Nature Communicationsمصطلحات موضوعية: Models, Molecular, Protein Conformation, alpha-Helical, Protein Folding, Multidisciplinary, Binding Sites, Science, General Physics and Astronomy, Proteins, General Chemistry, General Biochemistry, Genetics and Molecular Biology, Article, Molecular Docking Simulation, Machine learning, Protein Interaction Mapping, Protein structure predictions, Protein Conformation, beta-Strand, Protein Interaction Domains and Motifs, Molecular modelling, Amino Acid Sequence, Neural Networks, Computer, Peptides, Software, Protein Binding
-
7كتاب إلكتروني
المصدر: Encyclopedic Reference of Molecular Pharmacology. :603-608
-
8
المؤلفون: Sheng Li, Zhongliang Zhou, Rahil Taujale, Wayland Yeung, Kelley W. Moremen, Natarajan Kannan
المصدر: Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communicationsمصطلحات موضوعية: Protein Folding, Glycosylation, Computer science, Science, General Physics and Astronomy, Datasets as Topic, Sequence alignment, Computational biology, Convolutional neural network, General Biochemistry, Genetics and Molecular Biology, Article, Protein Structure, Secondary, Deep Learning, Machine learning, Databases, Genetic, Computational models, Amino Acid Sequence, Protein secondary structure, Sequence (medicine), Computational model, Multidisciplinary, business.industry, Deep learning, Computational Biology, Glycosyltransferases, General Chemistry, Fold (geology), Protein sequence analyses, Protein Structure, Tertiary, Protein structure predictions, Artificial intelligence, business, Sequence Alignment, Function (biology), Software
-
9
المؤلفون: Iris E. Kalenderoglou, Per Plenge, Claus J. Loland, Louise Laursen, Eric Gouaux, Amy Hauck Newman, Jonathan A. Coleman, Dongxue Yang, Kristine Salomon
المصدر: Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications
Plenge, P, Yang, D, Salomon, K, Laursen, L, Kalenderoglou, I E, Newman, A H, Gouaux, E, Coleman, J A & Loland, C J 2021, ' The antidepressant drug vilazodone is an allosteric inhibitor of the serotonin transporter ', Nature Communications, vol. 12, no. 1, 5063 . https://doi.org/10.1038/s41467-021-25363-3مصطلحات موضوعية: Vilazodone Hydrochloride, General Physics and Astronomy, Serotonin transport, Pharmacology, Imipramine, chemistry.chemical_compound, Cryoelectron microscopy, Chlorocebus aethiops, CRYO-EM STRUCTURE, Transporters in the nervous system, Serotonin transporter, Serotonin Plasma Membrane Transport Proteins, Multidisciplinary, biology, Chemistry, Molecular Pharmacology, OPEN-LABEL, Antidepressive Agents, BINDING-SITE, X-RAY STRUCTURES, COS Cells, NEUROTRANSMITTER TRANSPORTERS, Antidepressant, BACTERIAL HOMOLOG, Structural biology, Selective Serotonin Reuptake Inhibitors, medicine.drug, Serotonin, Serotonin uptake, Science, Allosteric regulation, DOPAMINE TRANSPORTER, Molecular Dynamics Simulation, General Biochemistry, Genetics and Molecular Biology, Article, Allosteric Regulation, Vilazodone, medicine, Animals, Humans, Binding Sites, General Chemistry, HIGH-AFFINITY RECOGNITION, Kinetics, Pharmacodynamics, MOLECULAR-DYNAMICS, Mutation, biology.protein, Protein structure predictions, FORCE-FIELD, Mutant Proteins
وصف الملف: application/pdf
-
10
المؤلفون: Karl-Heinz Krause, Marco Alessandrini, Silvia Acosta-Gutierrez, Carolina Estarellas, Sten Ilmjärv, Francesco Luigi Gervasio, Fabien Abdul, Marina Casimir, Ioannis Galdadas
المصدر: Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific reports, Vol. 11, No 1 (2021) P. 13705
Scientific Reportsمصطلحات موضوعية: Models, Molecular, 0301 basic medicine, Protein Conformation, Epidemiology, Science, RNA-dependent RNA polymerase, ddc:616.07, medicine.disease_cause, Genome, Article, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Protein structure, RNA polymerase, medicine, Humans, Point Mutation, ddc:610, Polymerase, ddc:616, Genetics, ddc:615, Mutation, Coronavirus RNA-Dependent RNA Polymerase, Multidisciplinary, biology, Transition (genetics), SARS-CoV-2, Point mutation, COVID-19, Experimental models of disease, 030104 developmental biology, chemistry, Viral infection, Spike Glycoprotein, Coronavirus, Protein structure predictions, biology.protein, Medicine, 030217 neurology & neurosurgery
Find this article in full text from Springer Verlag. 
Full Text Finder