| scholarly article | Q13442814 |
| P2093 | author name string | Yan Qian | |
| Qingqing Du | |||
| Weiwei Xue | |||
| P2860 | cites work | Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences | Q24336098 |
| The AB loop and D-helix in binding site III of human Oncostatin M (OSM) are required for OSM receptor activation. | Q52365247 | ||
| Computational alanine scanning mutagenesis--an improved methodological approach | Q57132691 | ||
| The AB loop of oncostatin M (OSM) determines species-specific signaling in humans and mice | Q58103945 | ||
| Prediction of GluN2B-CT/DAPK1 Interaction by Protein⁻Peptide Docking and Molecular Dynamics Simulation | Q59796192 | ||
| Prediction of the binding mode and resistance profile for a dual-target pyrrolyl diketo acid scaffold against HIV-1 integrase and reverse-transcriptase-associated ribonuclease H | Q62075874 | ||
| End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design | Q68686427 | ||
| Calculation of hot spots for protein-protein interaction in p53/PMI-MDM2/MDMX complexes | Q90482786 | ||
| Oncostatin M as a new diagnostic, prognostic and therapeutic target in inflammatory bowel disease (IBD) | Q90521173 | ||
| Oncostatin M receptor, positively regulated by SP1, promotes gastric cancer growth and metastasis upon treatment with Oncostatin M | Q91695681 | ||
| Elucidating the tight-binding mechanism of two oral anticoagulants to factor Xa by using induced-fit docking and molecular dynamics simulation | Q91921070 | ||
| HawkDock: a web server to predict and analyze the protein-protein complex based on computational docking and MM/GBSA | Q92148939 | ||
| Structural conservation of druggable hot spots in protein-protein interfaces | Q24614979 | ||
| Anti-TNF therapy: past, present and future | Q26997311 | ||
| Crystal structure and functional dissection of the cytostatic cytokine oncostatin M | Q27627161 | ||
| An unusual cytokine:Ig-domain interaction revealed in the crystal structure of leukemia inhibitory factor (LIF) in complex with the LIF receptor | Q27646869 | ||
| Comparison of multiple Amber force fields and development of improved protein backbone parameters | Q27861040 | ||
| Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations | Q28188949 | ||
| RosettaScripts: a scripting language interface to the Rosetta macromolecular modeling suite | Q28743250 | ||
| Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements | Q29614394 | ||
| Statistical potential for assessment and prediction of protein structures | Q29615145 | ||
| Modeling of loops in protein structures | Q29615861 | ||
| Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models | Q29616389 | ||
| Automatic atom type and bond type perception in molecular mechanical calculations | Q29616744 | ||
| Exploring protein native states and large-scale conformational changes with a modified generalized born model | Q29617088 | ||
| Identification of hot-spot residues in protein-protein interactions by computational docking | Q30849432 | ||
| Benchmarking and analysis of protein docking performance in Rosetta v3.2. | Q33988409 | ||
| Computational alanine scanning of the 1:1 human growth hormone-receptor complex | Q34120440 | ||
| Small-molecule inhibitors of protein-protein interactions: progressing toward the reality | Q34263719 | ||
| Overcoming Chemical, Biological, and Computational Challenges in the Development of Inhibitors Targeting Protein-Protein Interactions | Q34481459 | ||
| Pooled screening for antiproliferative inhibitors of protein-protein interactions. | Q35930537 | ||
| The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins | Q36604792 | ||
| Relationship between hot spot residues and ligand binding hot spots in protein-protein interfaces | Q36758601 | ||
| ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB. | Q36766916 | ||
| Clinical Use of Measuring Trough Levels and Antibodies against Infliximab in Patients with Pediatric Inflammatory Bowel Disease | Q37573910 | ||
| Oncogenic protein interfaces: small molecules, big challenges. | Q38195457 | ||
| The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design. | Q38826829 | ||
| Cytokines in inflammatory bowel disease | Q39206254 | ||
| A role for oncostatin M in inflammatory bowel disease | Q41129532 | ||
| Comparative Protein Structure Modeling Using MODELLER. | Q41144462 | ||
| Oncostatin M drives intestinal inflammation and predicts response to tumor necrosis factor-neutralizing therapy in patients with inflammatory bowel disease. | Q41846031 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P921 | main subject | inflammatory bowel diseases | Q917447 |
| P304 | page(s) | 29 | |
| P577 | publication date | 2020-03-04 | |
| P1433 | published in | Frontiers in molecular biosciences | Q27726420 |
| P1476 | title | Molecular Simulation of Oncostatin M and Receptor (OSM-OSMR) Interaction as a Potential Therapeutic Target for Inflammatory Bowel Disease | |
| P478 | volume | 7 |
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