Results 111 to 120 of about 8,374,602 (379)

PDBTM: Protein Data Bank of transmembrane proteins after 8 years [PDF]

, 2012
The PDBTM database (available at http://pdbtm .enzim.hu), the first comprehensive and up-to-date transmembrane protein selection of the Protein Data Bank, was launched in 2004.
Bass, Chetwynd, de Groot, Doyle, Dutzler, Dániel Kozma, Fagerberg, Gromiha, Gromiha, Gábor E. Tusnády, Hartshorn, Henrick, István Simon, Iwamoto, Jordan, Kozma, Krissinel, Lancaster, Laskowski, Lomize, Lomize, Nugent, Overington, Parrill, Punta, Raman, Rose, Saier, Tsirigos, Tusnády, Tusnády, Tusnády, Zhang, Zhou   +33 more
core   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

A Brief Review of RNA-Protein Interaction Database Resources

Non-Coding RNA, 2017
RNA-protein interactions play critical roles in various biological processes. By collecting and analyzing the RNA-protein interactions and binding sites from experiments and predictions, RNA-protein interaction databases have become an essential resource
Ying Yi, Yue Zhao, Yan Huang, Dong Wang
doaj   +1 more source

Phylogenetic and functional analysis of the Cation Diffusion Facilitator (CDF) family: improved signature and prediction of substrate specificity [PDF]

, 2007
BACKGROUND The Cation Diffusion Facilitator (CDF) family is a ubiquitous family of heavy metal transporters. Much interest in this family has focused on implications for human health and bioremediation.
Blaudez, D., Chalot, M., Jeandroz, S., Montanini, B., Sanders, D.   +4 more
core   +3 more sources

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Bayesian sequence learning for predicting protein cleavage points [PDF]

, 2005
A challenging problem in data mining is the application of efficient techniques to automatically annotate the vast databases of biological sequence data.
Mayo, Michael
core   +2 more sources

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

SciDBMaker: new software for computer-aided design of specialized biological databases

BMC Bioinformatics, 2008
Background The exponential growth of research in molecular biology has brought concomitant proliferation of databases for stocking its findings. A variety of protein sequence databases exist.
Fliss Ismail, Naghmouchi Karim, Ben Hamida Jeannette, Zouhir Abdelmajid, Hammami Riadh   +4 more
doaj   +1 more source

InterPro: the protein sequence classification resource in 2025

Nucleic Acids Research
InterPro (https://www.ebi.ac.uk/interpro) is a freely accessible resource for the classification of protein sequences into families. It integrates predictive models, known as signatures, from multiple member databases to classify sequences into families ...
Matthias Blum, Antonina Andreeva, Laise Cavalcanti Florentino, S. Chuguransky, Tiago Grego, Emma E. M. Hobbs, Beatriz Lázaro Pinto, Ailsa Orr, T. Paysan-Lafosse, Irina Ponamareva, Gustavo A. Salazar, Nicola Bordin, P. Bork, A. Bridge, Lucy J Colwell, Julian Gough, D. Haft, Ivica Letunic, Felipe Llinares-López, Aron Marchler-Bauer, Laetitia Meng-Papaxanthos, H. Mi, D. Natale, Christine A Orengo, A. P. Pandurangan, Damiano Piovesan, C. Rivoire, Christian J. A. Sigrist, N. Thanki, F. Thibaud-Nissen, P. D. Thomas, Silvio C. E. Tosatto, Cathy H. Wu, A. Bateman   +33 more
semanticscholar   +1 more source

Exploring deep phylogenies using protein structure : a dissertation submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Biochemistry, Institute of Natural and Mathematical Sciences, Massey University, Auckland, New Zealand [PDF]

, 2018
Recent times have seen an exponential growth in protein sequence and structure data. The most popular way of characterising newly determined protein sequences is to compare them to well characterised sequences and predict the function of novel sequences ...
Malik, Ashar J
core