Targeting protein-protein interactions with small molecules: challenges and perspectives for computational binding epitope detection and ligand finding.
about
Modeling effects of human single nucleotide polymorphisms on protein-protein interactionsSurfing the Protein-Protein Interaction Surface Using Docking Methods: Application to the Design of PPI InhibitorsECMIS: computational approach for the identification of hotspots at protein-protein interfaces.Using structural analysis to generate parasite-selective monoclonal antibodies.DrugScorePPI knowledge-based potentials used as scoring and objective function in protein-protein docking.The lentiviral integrase binding protein LEDGF/p75 and HIV-1 replication.Toward a molecular understanding of the interaction of dual specificity phosphatases with substrates: insights from structure-based modeling and high throughput screening.Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methodsAPIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.Docking to large allosteric binding sites on protein surfaces.Predictions of hot spot residues at protein-protein interfaces using support vector machines.Targeting protein-protein interactions for therapeutic intervention: a challenge for the future.Dimerization of human 5-lipoxygenase.Immunosuppressive small molecule discovered by structure-based virtual screening for inhibitors of protein-protein interactions.From laptop to benchtop to bedside: structure-based drug design on protein targets.In silico study on binding specificity of gonadotropins and their receptors: design of a novel and selective peptidomimetic for human follicle stimulating hormone receptor.Comprehensive in silico mutagenesis highlights functionally important residues in proteins.Hot spots in a network of functional sites.The scoring of poses in protein-protein docking: current capabilities and future directionsPPCheck: A Webserver for the Quantitative Analysis of Protein-Protein Interfaces and Prediction of Residue HotspotsGlutamine Synthetase Drugability beyond Its Active Site: Exploring Oligomerization Interfaces and Pockets.Exosites in the substrate specificity of blood coagulation reactions.E9-Im9 colicin DNase-immunity protein biomolecular association in water: a multiple-copy and accelerated molecular dynamics simulation studyA survey of available tools and web servers for analysis of protein-protein interactions and interfaces.G protein betagamma subunits as targets for small molecule therapeutic development.Knitting and untying the protein network: modulation of protein ensembles as a therapeutic strategy.Strategies for the identification of ubiquitin ligase inhibitors.A strategy based on protein-protein interface motifs may help in identifying drug off-targets.Inhibitors of Cdc25 phosphatases as anticancer agents: a patent review.Computational prediction of protein hot spot residues.The ubiquitin proteasome system - implications for cell cycle control and the targeted treatment of cancer.Fractal nature of protein surface roughness: a note on quantification of change of surface roughness in active sites, before and after binding.Specific therapy to regulate inflammation in rheumatoid arthritis: molecular aspects.HotPoint: hot spot prediction server for protein interfaces.Analysis and Ranking of Protein-Protein Docking Models Using Inter-Residue Contacts and Inter-Molecular Contact Maps.Alterations in the E3 ligases Parkin and CHIP result in unique metabolic signaling defects and mitochondrial quality control issues.An Integrated In Silico Approach for the Structural and Functional Exploration of Lipocalin 2 and its Functional Insights with Metalloproteinase 9 and Lipoprotein Receptor-Related Protein 2.3-substituted indazoles as configurationally locked 4EGI-1 mimetics and inhibitors of the eIF4E/eIF4G interaction.Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking.Structure-Based Pharmacophores for Virtual Screening.
P2860
Q24643464-0B4DBA58-00EA-43EF-9B77-019E471AE2A8Q26823990-51E8F469-EC0E-4984-A9B7-A260DEF450BBQ30366872-1E5E96C8-E2EC-4022-8263-EA652DDC85ADQ30368852-DB32EB6C-F981-4267-ACA9-0AECD4D73DCFQ31152113-E7899549-383A-4081-8F03-FA351E93F834Q33325927-7DE51110-7FF4-4768-9C49-08E02BBE9467Q33376019-32C12E7D-7933-4524-AC0B-E1C0AE14AFF1Q33514100-A01902C7-3874-4C6A-A905-0C2A8034A666Q33551020-C0E9A9C6-4B43-4178-BDAF-163482F27566Q33701972-F459BC28-B4E5-488E-861C-F543C5489B91Q33840899-8231D0B0-BABF-4EB7-93C6-2DE4518DB07DQ33852396-EC91F002-E41F-474F-A9A6-3CB4F2E9CBECQ34066023-02829302-7FD8-4EBE-8FFA-D2F3C1122C92Q34077504-E991C82E-964B-4C3B-9489-79137D411AC2Q34153589-3CD36871-B5FC-43EA-9118-1F74E8C357ECQ34735557-A0586DFA-1DB5-4463-B6CC-A95FA36947F6Q34806039-C4C3EC04-CE67-45A5-BAD4-A53D111B840BQ34984663-541670D4-65D6-4758-AB9B-CF04E5B25F07Q35002283-88264771-A8CE-48C7-B3CF-D4C9DE102484Q36082390-0D42DC61-7C65-4B77-B415-A8DE389F231FQ36100472-2F4CABE0-9E99-4B74-BCB9-4235F7023211Q36884329-10B7C0C3-0526-4FCE-9645-CD8EF143CD26Q37118683-0EDD562E-B10B-4224-8EC9-0A5C20292AFBQ37164596-5A42FD8B-8120-48FA-B27D-0CFFB58CE350Q37184794-DC6F99EC-AE7E-4BE4-A979-7EB0D93604FDQ37383647-5E6B33CA-B496-4BC8-BB5A-28546F26D396Q37674741-AA60321C-CF64-404C-8BEA-C15C9FD37A61Q37691954-FF4BEA16-EE06-49D4-80BB-58EE986C8055Q37694564-C8BA55C3-F917-4691-8D4E-644DD85002BAQ37982406-8B3C5655-73BB-4EBE-982E-7E7B2EF3BC65Q38087182-2D0AFF93-8791-471F-8255-AF6E207E5CC6Q38092805-3187FD23-A550-4DE8-AC58-1A5D0D19CB4DQ38217595-E64A8BCA-3312-444C-A6FC-0F4121DA9DAAQ38373749-0943FC56-B5AA-4C0F-AEF3-AADEDF1F488AQ38542405-0134FE1E-1F25-4E77-A4E3-7FAA3A76C11FQ38603276-90179CB9-217D-433E-B143-0A700167F853Q39017913-B7912DC8-15E9-4053-941F-55DCBD45710BQ39031191-8748EE11-E29D-4596-8F1B-E7B2A7A5A54AQ39574481-CD0D8647-1A8A-49CF-B2F7-57E642608DCCQ39750808-82A4A843-CF5D-4E39-BA5C-D8CF526B8FCC
P2860
Targeting protein-protein interactions with small molecules: challenges and perspectives for computational binding epitope detection and ligand finding.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Targeting protein-protein inte ...... detection and ligand finding.
@ast
Targeting protein-protein inte ...... detection and ligand finding.
@en
type
label
Targeting protein-protein inte ...... detection and ligand finding.
@ast
Targeting protein-protein inte ...... detection and ligand finding.
@en
prefLabel
Targeting protein-protein inte ...... detection and ligand finding.
@ast
Targeting protein-protein inte ...... detection and ligand finding.
@en
P1476
Targeting protein-protein inte ...... detection and ligand finding.
@en
P2093
Domingo González-Ruiz
Holger Gohlke
P304
P356
10.2174/092986706778201530
P577
2006-01-01T00:00:00Z