Recent advances in QSAR and their applications in predicting the activities of chemical molecules, peptides and proteins for drug design.
about
Predicting biological functions of compounds based on chemical-chemical interactionsLECTINPred: web Server that Uses Complex Networks of Protein Structure for Prediction of Lectins with Potential Use as Cancer Biomarkers or in Parasite Vaccine Design.DDESC: Dragon database for exploration of sodium channels in human.An FPGA implementation to detect selective cationic antibacterial peptides.Recent application of analytical methods to phase I and phase II drugs development: a review.ChemoPy: freely available python package for computational biology and chemoinformatics.3D QSAR studies, pharmacophore modeling and virtual screening on a series of steroidal aromatase inhibitors.Reviewing ligand-based rational drug design: the search for an ATP synthase inhibitor.Hologram QSAR models of a series of 6-arylquinazolin-4-amine inhibitors of a new Alzheimer's disease target: dual specificity tyrosine-phosphorylation-regulated kinase-1A enzyme.3D QSAR pharmacophore modeling, in silico screening, and density functional theory (DFT) approaches for identification of human chymase inhibitors.Histone deacetylase inhibitors (HDACIs). Structure--activity relationships: history and new QSAR perspectives.Rational, computer-enabled peptide drug design: principles, methods, applications and future directions.Medicinal Chemistry Strategies to Disrupt the p53-MDM2/MDMX Interaction.A New Descriptor of Amino Acids-SVGER and its Applications in Peptide QSAR.The advancement of multidimensional QSAR for novel drug discovery - where are we headed?Biomacromolecular 3D-QSAR to Decipher Molecular Herbicide Resistance in Acetohydroxyacid Synthases.Pharmacophore Identification, Molecular Docking, Virtual Screening, and In Silico ADME Studies of Non-Nucleoside Reverse Transcriptase Inhibitors.Comparative docking study of anibamine as the first natural product CCR5 antagonist in CCR5 homology models.Prediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression.Theoretical Studies of Intracellular Concentration of Micro-organisms' Metabolites.Benchmarking ligand-based virtual High-Throughput Screening with the PubChem database.Correction: Xie, H.; et al. 3D QSAR studies, pharmacophore modeling and virtual screening on a series of steroidal aromatase inhibitors. Int. J. Mol. Sci. 2014, 15, 20927-20947.Study of human dopamine sulfotransferases based on gene expression programming.Novel amino acids indices based on quantum topological molecular similarity and their application to QSAR study of peptides.Prediction of Nucleotide Binding Peptides Using Star Graph Topological Indices.Consensus models for CDK5 inhibitors in silico and their application to inhibitor discovery.Investigation into potent inflammation inhibitors from traditional Chinese medicine.Structure-based QSAR, molecule design and bioassays of protease-activated receptor 1 inhibitors.Transfer and Multi-task Learning in QSAR Modeling: Advances and Challenges.Global Performance and Trend of QSAR/QSPR Research: A Bibliometric Analysis.Structure-based prediction of protein-protein binding affinity with consideration of allosteric effect.Computer-aided design of amino acid-based therapeutics: a review.Unraveling the bioactivity of anticancer peptides as deduced from machine learningA Comprehensive In Silico Method to Study the QSTR of the Aconitine Alkaloids for Designing Novel DrugsQSAR Investigation on Quinolizidinyl Derivatives in Alzheimer’s Disease
P2860
Q28478635-3986C232-4CE9-40C5-AD3F-EE2AE543C523Q30391388-3ABB41C6-C2F8-4A07-805C-938774AECD25Q30855778-552C2A3C-8109-4673-9D5C-3D83253F22B5Q33954861-E60911A1-499A-43C9-80BA-D81254FF8AFAQ33997398-A7C9FF0E-6174-400E-8D37-8EBEEB920266Q34620530-9F8CC668-670C-46CC-8B8F-A0F355E40239Q34685559-1B000920-DEBB-4292-9CF6-56AE5133B70FQ35229529-A19807B3-C58E-47B1-A506-87B9A2834E65Q35380915-2DA0CDA0-B5FC-4E7B-9E00-A091E7F67358Q35669549-5E7A02B0-2EDE-4B7C-9418-1EC896F6E64AQ37693855-5CAFE680-437C-42D8-8FF5-924AFC16078EQ38618616-E65F4102-8185-49D5-BB87-81FAB14FB0F1Q38865504-DB9C5503-C40C-4C24-B69D-8813C085E1F6Q39292446-46B79A87-8662-4303-9A07-7B53B578C113Q39340690-88AC653C-B30A-4A8D-BFAE-F0D813FAD967Q39535805-5A0C99DF-C372-40E4-8655-D738D588A96CQ39540759-2DF480F6-B4BA-4FA8-8CF4-C6741E889FABQ40007908-45835631-6BE1-4426-858F-C531BA3BE183Q41472472-7E6927F4-37C1-43A0-94D3-33B63B0A9186Q41490801-D2385D0C-5D06-4846-89E0-00810043458AQ42107368-A07B58E7-D39A-4056-8B81-62A984510234Q43228241-30E7997D-46EC-4D4D-A606-40090C42F08CQ43974588-5ECB9D6E-B6BE-4D72-8102-5116CFA45E42Q45331495-F687D660-1495-4C48-BDC7-1A0C8DE75FA1Q45950454-3C21506D-0921-41B2-BEB4-675F1B342A03Q45955634-7502214A-8CF1-469B-AC01-9E50F4B14849Q47278490-586241AE-C25D-4D2C-84C9-F3DA763666CBQ47639646-D3A5B157-FB2F-4ACD-A341-73710EDAF1B3Q50280886-B757EA52-53DB-40E8-9D29-5FEECA8FF4D3Q51031564-61B72B44-4A82-4A03-926B-CCBB3CBA381AQ51496556-DF45EE57-CBCE-46E9-BB61-4DEF50A0A462Q55315041-FD4C5C09-26D6-417C-B1A4-F480A942F10FQ57174709-8D98C448-BCA2-40A0-937D-16D06B1B85D9Q58696412-CC42CC26-0651-4574-B572-2B6144704AA5Q58919548-F7469A77-9F42-4914-90E2-C65D5AF18C28
P2860
Recent advances in QSAR and their applications in predicting the activities of chemical molecules, peptides and proteins for drug design.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on June 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Recent advances in QSAR and th ...... and proteins for drug design.
@en
Recent advances in QSAR and th ...... and proteins for drug design.
@nl
type
label
Recent advances in QSAR and th ...... and proteins for drug design.
@en
Recent advances in QSAR and th ...... and proteins for drug design.
@nl
prefLabel
Recent advances in QSAR and th ...... and proteins for drug design.
@en
Recent advances in QSAR and th ...... and proteins for drug design.
@nl
P1476
Recent advances in QSAR and th ...... and proteins for drug design.
@en
P2093
Ri-Bo Huang
P304
P356
10.2174/138920308784534005
P577
2008-06-01T00:00:00Z