Combining global and local measures for structure-based druggability predictions.
about
Histone-modifying enzymes, histone modifications and histone chaperones in nucleosome assembly: Lessons learned from Rtt109 histone acetyltransferasesStructure of the Mycosin-1 Protease from the Mycobacterial ESX-1 Protein Type VII Secretion SystemStructural analysis of an oxygen-regulated diguanylate cyclaseIdentification of Tazarotenic Acid as the First Xenobiotic Substrate of Human Retinoic Acid Hydroxylase CYP26A1 and CYP26B1In silico mechanistic profiling to probe small molecule binding to sulfotransferasesRational design of small-molecule stabilizers of spermine synthase dimer by virtual screening and free energy-based approachTo Hit or Not to Hit, That Is the Question - Genome-wide Structure-Based Druggability Predictions for Pseudomonas aeruginosa ProteinsTuberQ: a Mycobacterium tuberculosis protein druggability databasePockDrug-Server: a new web server for predicting pocket druggability on holo and apo proteins.Integrated structure- and ligand-based in silico approach to predict inhibition of cytochrome P450 2D6.Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling.Health and population effects of rare gene knockouts in adult humans with related parentsIdentification and analysis of potential targets in Streptococcus sanguinis using computer aided protein data analysis.Crystal structure of PfRh5, an essential P. falciparum ligand for invasion of human erythrocytes.Three-dimensional structures in the design of therapeutics targeting parasitic protozoa: reflections on the past, present and future.New Frontiers in DruggabilitySynergistic Interactions of Eugenol-tosylate and Its Congeners with Fluconazole against Candida albicansGenetic meta-analysis of 15,901 African Americans identifies variation in EXOC3L1 is associated with HDL concentration.AlphaSpace: Fragment-Centric Topographical Mapping To Target Protein-Protein Interaction Interfaces.GP0.4 from bacteriophage T7: in silico characterisation of its structure and interaction with E. coli FtsZScaling the druggability landscape of human bromodomains, a new class of drug targets.HIV-1 Protease Dimerization Dynamics Reveals a Transient Druggable Binding Pocket at the Interface.Pocket-based drug design: exploring pocket spaceEndoperoxide formation by an α-ketoglutarate-dependent mononuclear non-haem iron enzymeA high performance cloud-based protein-ligand docking prediction algorithm.Virtual screening-driven repositioning of etoposide as CD44 antagonist in breast cancer cellsGene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci.Gene-centric meta-analyses for central adiposity traits in up to 57 412 individuals of European descent confirm known loci and reveal several novel associations.Support vector machines for drug discovery.Exploiting structural information for drug-target assessment.DXS as a target for structure-based drug design.Identification of Multiple Druggable Secondary Sites by Fragment Screening against DC-SIGN.ProteinsPlus: a web portal for structure analysis of macromolecules.ENRI: A tool for selecting structure-based virtual screening target conformations.Essential gene identification and drug target prioritization in Leishmania species.Towards the Next Generation of Computational Chemogenomics Tools.Crystal Structure of a Group I Energy Coupling Factor Vitamin Transporter S Component in Complex with Its Cognate Substrate.Role of sequence evolution and conformational dynamics in the substrate specificity and oligomerization mode of thymidylate kinases.Characterization of Small-Molecule Scaffolds That Bind to the Shigella Type III Secretion System Protein IpaD.An oxygen-sensitive toxin-antitoxin system.
P2860
Q27003952-6E901052-F4F4-49A0-9967-1A5C8F04CB91Q27677641-D4771DA0-1BBB-44BA-8055-F8F824C4BB63Q27702555-85837AAD-C023-4C70-8B55-9F20CCC8A6E6Q28115020-FA81556A-1CFD-4DBC-AC97-9B98079BF522Q28536904-57A718EA-1841-47C3-AD00-917EF9B2A3C7Q28544065-44848C39-F276-4B2B-A17D-8FEB22DF8473Q28547877-0F4EC985-CD2E-44CA-811E-079E7AB2E008Q30362399-F3D46E63-09A4-4E89-A3AE-9F71738B8871Q30374520-CBBFEC80-7435-4913-9CED-82F5D29FACE2Q30378479-3F598F2E-04D5-4C37-86D1-BDF855EB4150Q30394826-E47DA302-3789-4316-97A0-41CB7C1BCB43Q34046351-0FB559F6-A1F5-48AE-B8C4-8E696BABC4F0Q34600507-2A6B0082-D131-4C0B-85BA-514855A30012Q35167000-7FCA1D0B-C64B-46BE-919E-456086369DF8Q35592514-585734F5-B221-488E-A05C-D85C03AF13D6Q35730955-7EEE687D-72FC-42C2-A12D-D4AC68F1F097Q35875686-1FBF4D52-8D1F-48E8-BF20-140C9D0828DAQ35994381-F39F5E13-0A73-4C94-A284-A7D0341481DFQ35997296-5E58A4F6-CDEE-4BA3-965E-0B3F2C4A8BBAQ36076534-D3AB9BA0-2B0A-412D-BAAE-1907587E03E1Q36266769-491E8E9C-712B-4836-81B6-25646CC9CC11Q36392939-AF910CC3-BE9E-4E44-A1FD-53F7B7E092E3Q36502439-345DE0F3-0D2F-40FE-807D-4017DC4240DBQ36720137-3A09C26F-F43A-48B3-A886-AA6E21F0FFC2Q36882977-F2C95A9A-BA48-47F8-877A-C91648272718Q37269126-3A62C756-F766-40D7-BE2F-DAA27450E144Q37634121-C5A51DBB-065E-4346-8495-3A74859B87E0Q37705562-8B9D6825-9FA0-471F-92E7-1A70A68A2435Q38168576-77F53FD9-C3F7-4918-8B25-1F4FF2CE1B08Q38191683-ED7D0D36-6257-465F-8767-7AAC46CE61ECQ38668515-79EC894A-CCF1-431A-BFE8-A17BFB7C5744Q38681868-85D2C544-D1E5-4958-BA14-36397F43FD08Q38687678-7A4336A2-D11B-4C14-AA23-6CFB368D3E32Q39084664-2A0B08CB-360D-4F4E-80A7-A263F464F273Q39343644-FD091B45-F0BD-4F7E-8FD3-2A7BB5C72BE2Q39535940-8FA33136-7C88-477D-80EC-A604CACB95F8Q39571539-A52A5136-9831-46FC-95D6-D427D1DBCDFBQ39633759-EA0FE5BD-83C0-4B84-9B4E-7633CA2CFEC6Q40116893-5A385745-2DE6-4AB1-BA86-F82EAE0A57F9Q41362125-39D7AA41-4BD3-493A-BE21-C649F6342D7D
P2860
Combining global and local measures for structure-based druggability predictions.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Combining global and local measures for structure-based druggability predictions.
@en
Combining global and local measures for structure-based druggability predictions.
@nl
type
label
Combining global and local measures for structure-based druggability predictions.
@en
Combining global and local measures for structure-based druggability predictions.
@nl
prefLabel
Combining global and local measures for structure-based druggability predictions.
@en
Combining global and local measures for structure-based druggability predictions.
@nl
P2093
P356
P1476
Combining global and local measures for structure-based druggability predictions.
@en
P2093
Daniel Kuhn
Friedrich Rippmann
Thomas Grombacher
P304
P356
10.1021/CI200454V
P577
2012-01-05T00:00:00Z