Methylation-sensitive sequence-specific DNA binding by the c-Myc basic region. Determines the DNA sequence recognized by the c-Myc basic region was tested for its ability to bind DNA by attaching it to the helix-loop-helix dimerizatio... Prendergast,C G.,Ziff,... - 《Science》 被引量:...
对文本和protein sequence进行对比学习,Lgc是为了最小化正样本的内积,最大化负样本的内积。 (3)Multimodal Mask Prediction 作者认为上面的训练没有捕捉到protein sequence中的residues(残基)和文本描述的联系,所以设计了一个fusion model: 对文本描述和protein sequence都使用15%的mask。 输入一个基于self和cross attent...
The method is applicable for the fold assignment of any protein sequence with or without significant sequence homology to known proteins. 该方法适用于倍转让任何蛋白质序列或无显着同源性已知的蛋白质。 www.syyxw.com 2. When a new gene is identified and its DNA sequence deciphered, it is still...
1 or a part thereof and a DNA sequence to which the proteins containing the polypeptide binds. These polypeptide and DNA sequence would contribute to the progress of clarification of the forming mechanism of the human nervous systems, and at the same time, opens up a new way to development ...
The target protein is expressed with sequence (Leu25-Gln167) of mouse PD-1 (Accession #NP_032824.1) fused with a 6×His tag at the C-terminus. 靶点背景信息 基因ID 18566 Swiss Prot Q02242 别名 CD279;mPD-1;SLEB2;PDCD1;PD1 瑾萱生物的重组蛋白表达和纯化及定制生产服务包括:重组蛋白大肠杆菌...
5) Function to Sequence CNN-based • VAE-based • GAN-based • Transformer-based • Bayesian method • Reinforcement Learning • Flow-based • RNN-based • LSTM-based • Autoregressive • Boltzmann machine • Diffusion-based • GNN-based • Score-based 6) Function to ...
'BLAST 2 Sequences', a new BLAST-based tool for aligning two protein or nucleotide sequences, is described. While the standard BLAST program is widely used to search for homologous sequences in nucleotide and protein databases, one often needs to compare only two sequences that are already kn...
protein sequences by mass spectrometry, including step-by-step guidelines for sample preparation, analysis, and data interpretation. Michael Kinter and Nicholas Sherman present their own high-quality, laboratory-tested protocols for the analysis of a wide variety of samples, demonstrating how to carry...
Significant progress has been made in protein structure prediction in recent years. However, it remains challenging for AlphaFold2 and other deep learning-based methods to predict protein structure with single-sequence input. Here we introduce trRosettaX
Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and structure data have radically transformed computational protein design. New methods promise to escape the constraints of natural and laboratory evolution, accelerating the generation of proteins for applications in biotechno...