3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites.
about
LECTINPred: web Server that Uses Complex Networks of Protein Structure for Prediction of Lectins with Potential Use as Cancer Biomarkers or in Parasite Vaccine Design.MISS-Prot: web server for self/non-self discrimination of protein residue networks in parasites; theory and experiments in Fasciola peptides and Anisakis allergens.Fragment-based optimization of small molecule CXCL12 inhibitors for antagonizing the CXCL12/CXCR4 interaction.Computational Approaches for Automated Classification of Enzyme SequencesComputer-aided nanotoxicology: assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach.A ligand-based approach for the in silico discovery of multi-target inhibitors for proteins associated with HIV infection.Multi-output model with Box-Jenkins operators of linear indices to predict multi-target inhibitors of ubiquitin-proteasome pathway.Ddi1-like protein from Leishmania major is an active aspartyl proteinase.Automatic single- and multi-label enzymatic function prediction by machine learning.Prediction of multi-target networks of neuroprotective compounds with entropy indices and synthesis, assay, and theoretical study of new asymmetric 1,2-rasagiline carbamates.Prediction of ketoacyl synthase family using reduced amino acid alphabets.Computational modeling in nanomedicine: prediction of multiple antibacterial profiles of nanoparticles using a quantitative structure-activity relationship perturbation model.LIBP-Pred: web server for lipid binding proteins using structural network parameters; PDB mining of human cancer biomarkers and drug targets in parasites and bacteriaSNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification
P2860
Q30391388-B7254E4F-0E37-4CEE-A647-5AE2D18965FFQ33863697-F5BA9DDC-FBF9-4A67-82F8-CB8F26EB3950Q34569177-48B79DC2-CD44-47D0-AF6C-FC07F3879E0EQ35565251-27EF0A49-EF94-42BD-92B6-77806007CC7DQ38969588-73139B06-23BD-4923-B97C-F2A6C6E68E24Q39604643-38BA8EB3-E02F-4F4B-9BB3-60C8D6C5BF9DQ41261562-850D5473-5395-46D7-BAA5-B69AED24436BQ41979736-894435C1-261A-45D6-BA8F-B114A89B667BQ42293187-0E9754E9-C985-4A45-AEF7-E1DB1BB1AE53Q42920103-F834781C-18DB-4606-985A-D0CF9DEE97B5Q46337375-A4495BEE-B176-4F4F-8143-40BE90EC94E7Q54274935-DB041EAA-B67B-460D-B449-32F2EFE0D73CQ55162821-B2B04655-BCB7-4D76-B168-D452B7D9D893Q55162837-704538A1-C990-4238-8CA3-5FCBE1B03D2B
P2860
3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites.
description
2009 nî lūn-bûn
@nan
2009 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
3D entropy and moments predict ...... rints in Leishmania parasites.
@ast
3D entropy and moments predict ...... rints in Leishmania parasites.
@en
type
label
3D entropy and moments predict ...... rints in Leishmania parasites.
@ast
3D entropy and moments predict ...... rints in Leishmania parasites.
@en
prefLabel
3D entropy and moments predict ...... rints in Leishmania parasites.
@ast
3D entropy and moments predict ...... rints in Leishmania parasites.
@en
P2093
P50
P1476
3D entropy and moments predict ...... rints in Leishmania parasites.
@en
P2093
F Bolás-Fernández
F J Prado-Prado
F M Ubeira
L G Perez-Montoto
M A Dea-Ayuela
P304
P356
10.1016/J.BBAPAP.2009.08.020
P407
P577
2009-08-28T00:00:00Z