Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gilad Wainreb"'
Publikováno v:
Bioinformatics
Motivation: Accurate prediction of protein stability is important for understanding the molecular underpinnings of diseases and for the design of new proteins. We introduce a novel approach for the prediction of changes in protein stability that aris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff81eb93172f85c1c05e4dafa7329038
https://doi.org/10.1093/bioinformatics/btr576
https://doi.org/10.1093/bioinformatics/btr576
Autor:
Cornel Bozdog, Givantha Iddawela, Michael Klots, Yinon Katz, Byung Cheol (Charles) Kang, Gilad Wainreb, Paul Isbester, Alok Vaid, Matt Sendelbach, Jamie Tsai
Publikováno v:
SPIE Proceedings.
Advanced nodes require precise detection and control of intricate profile details – scatterometry is tool of choice for such requirements. Scatterometry is a model-based technique, and needs extensive reference metrology for qualification. Such ref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bbb963f320282d737ec581562088e9e
https://doi.org/10.1117/12.2087232
https://doi.org/10.1117/12.2087232
Publikováno v:
Bioinformatics. 22:1343-1352
Motivation: Secondary-Structure Guided Superposition tool (SSGS) is a permissive secondary structure-based algorithm for matching of protein structures and in particular their fragments. The algorithm was developed towards protein structure predictio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa4864b0fdc0f21dfcf30f744ad6500d
https://doi.org/10.1093/bioinformatics/btl098
https://doi.org/10.1093/bioinformatics/btl098
Autor:
Jan Trka, Chen Shochat, Nicole Dastugue, Smadar Avigad, Giuseppe Basso, Gilad Wainreb, Arndt Borkhardt, Andrea Biondi, Arava Elimelech, Yehudit Birger, Owen P. Smith, Martin Schrappe, Nir Ben Tal, Sabine Strehl, Shai Izraeli, Batia Stark, Vera Binder, Jean-Pierre Bourquin, Anthony R. Green, Bella Bielorei, Gunnar Cario, Ithamar Ganmore, Giovanni Cazzaniga, Helena Kempski, Dani Bercovich, Martin Stanulla, Linda M. Scott, Oskar A. Haas, Georg Mann
Background: Children with Down's syndrome have a greatly increased risk of acute megakaryoblastic and acute lymphoblastic leukaemias. Acute megakaryoblastic leukaemia in Down's syndrome is characterised by a somatic mutation in GATA1. Constitutive ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d1259da4655b396c7a4a729b7fdea18
https://doi.org/10.5167/uzh-33793
https://doi.org/10.5167/uzh-33793
Autor:
Nurit, Haspel, Gilad, Wainreb, Yuval, Inbar, Hui-Hsu, Tsai, Chung-Jung, Tsai, Haim J, Wolfson, Ruth, Nussinov
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 350
The building block protein folding model states that the native protein structure is the product of a combinatorial assembly of relatively structurally independent contiguous parts of the protein that possess a hydrophobic core, i.e., building blocks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::10dbb39541d8c3b3e3e6199cfc112bcb
https://pubmed.ncbi.nlm.nih.gov/16957324
https://pubmed.ncbi.nlm.nih.gov/16957324
Autor:
Yuval Inbar, Ruth Nussinov, Chung-Jung Tsai, Nurit Haspel, Haim J. Wolfson, Gilad Wainreb, Hui Hsu Tsai
The building block protein folding model states that the native protein structure is the product of a combinatorial assembly of relatively structurally independent contiguous parts of the protein that possess a hydrophobic core, i.e., building blocks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da2557507976031304f34d7adffbd6c1
https://doi.org/10.1385/1-59745-189-4:189
https://doi.org/10.1385/1-59745-189-4:189
Autor:
Alina Starovolsky-Shitrit, Eytan Ruppin, Nir Ben-Tal, Gilad Wainreb, Haim Ashkenazy, Burkhard Rost, Turkan Haliloglu, Yana Bromberg, Karen B. Avraham
Publikováno v:
Nucleic Acids Research
The discrimination between functionally neutral amino acid substitutions and non-neutral mutations, affecting protein function, is very important for our understanding of diseases. The rapidly growing amounts of experimental data enable the developme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::039c1680825627569509f88b13be6c20
http://europepmc.org/articles/PMC2995036
http://europepmc.org/articles/PMC2995036
Publikováno v:
Bioinformatics; Jun2006, Vol. 22 Issue 11, p1343-1352, 10p