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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Predicting sequence from" (30 stories)

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A scalable approach to investigating sequence-to-function predictions from personal genomes
Lead StoryNatureworld
Jun 8

A scalable approach to investigating sequence-to-function predictions from personal genomes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8xLXVONnlzUFdrNGdVaWdheGFRckp4eDdKZ0RORHFrN2VXQUh4LWwyX0ZYYi1zWFFqay00Skh1Z18zSWNtTXJNU0I2WlI5R3g5SnlYeW1jYkxYaDRlcmlR?oc=5" target="_blank">A scalable approach to investigating sequence-to-function predictions from personal genomes</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Predicting sequence from"

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29 stories displayed
Google’s AlphaGenome predicts the function of a DNA sequence
Chemical & Engineering Newstech

Google’s AlphaGenome predicts the function of a DNA sequence

<a href="https://news.google.com/rss/articles/CBMiqwFBVV95cUxNNmVoY3B1dUdsTW1FcHBuMHB4T3NQWmJFb0hHMHZyMjFCMG9VVUUxanFrbndnbmowRkVTWW5sTFZVS0JwWmVsT1g5T255STI5cFEtUkZaS1U1UFFPNlM5TlZfaHFKdndtUXR3ZjR6RU1PNnY0NHE2cWxhNG1RMXZpRlV3c3FzVGJDOFVmcWtsc1VUbWl2Q3FQNWpqcmEzVWl3ODZSVDhzV2M5TjA?oc=5" target="_blank">Google’s AlphaGenome predicts the function of a DNA sequence</a>  <font color="#6f6f6f">Chemical & Engineering News</font>

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Prediction and functional interpretation of inter-chromosomal genome architecture from DNA sequence with TwinC
Natureworld

Prediction and functional interpretation of inter-chromosomal genome architecture from DNA sequence with TwinC

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9mY0NMQjFiU2s1NUtzWmRCWlZ4UVY5dHdhamlfZkJjUm1SaFBnU21WbTE5V1AtYVNJTDJUYm9wUldWSEJoS1dlSHp0QzFJTGdWdVNfemJmTEFhZU5rX3M0?oc=5" target="_blank">Prediction and functional interpretation of inter-chromosomal genome architecture from DNA sequence with TwinC</a>  <font color="#6f6f6f">Nature</font>

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Predicting sequence from structure
MIT Newsgeneral

Predicting sequence from structure

<a href="https://news.google.com/rss/articles/CBMimgFBVV95cUxOSzZERXhyc01seVVzUHBKcmJvREc5eXpVMk5BdlJXZkEwRXRvc09Ncl9JOWFYM1p2WENLNFdkSnFUeXd0RmRnOFZGZU42VUtDYm5KREpJblpUdzRza1dvUUNndlotci03MmlGTXEwWDRVZElOMy11MjZPMnhnbjJXdGZJU3Bmb3M2RWVXZzNuQWVzVHpWTUZ5RmVR?oc=5" target="_blank">Predicting sequence from structure</a>  <font color="#6f6f6f">MIT News</font>

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CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets
Frontiersgeneral

CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxPVDdVWDZ1ZkpWZGJVTnJQZFR5ellVNVdkSUFKaDRGcGhsWHpuOFQxQ1k4WFVBQnlzekhWQXFMeWxSMVQyb0tJWnRoVG1WVWFJOEU4QVkweEV3RlJpb2pvakhvMTMtaVlzZ3ZGamo5VENqT3lpck9LTU1CTndpMDM1Q1p2Vkw4NGlYMUc5TFdRbw?oc=5" target="_blank">CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets</a>  <font color="#6f6f6f">Frontiers</font>

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EPInformer: scalable and integrative prediction of gene expression from promoter-enhancer sequences with multimodal epigenomic profiles
Naturegeneral

EPInformer: scalable and integrative prediction of gene expression from promoter-enhancer sequences with multimodal epigenomic profiles

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1jc0tSblBvRkV4UkVwM2ZLY0pWcUhUY2hadkpjTERTLU9ma3ZVbWduRnpXSDJNZVpRTGY0X1ZWQ0VScklfb2hoQWxiOG1KZXh1UmYtN3U1U3U5akJUTmFv?oc=5" target="_blank">EPInformer: scalable and integrative prediction of gene expression from promoter-enhancer sequences with multimodal epigenomic profiles</a>  <font color="#6f6f6f">Nature</font>

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Stable de novo protein design via joint conformational landscape and sequence optimization
Naturegeneral

Stable de novo protein design via joint conformational landscape and sequence optimization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5OWWw2dS1vSnlFU2NOSXh2M291amwwYmhFbVBjSk5MdjlmOHJHQTM0MWZIT25FSVlsYjhjS2Jhc1dfLXJCa3dXVkxRRThaVzZ2R3JBQkJLclFHTVdGNG1v?oc=5" target="_blank">Stable de novo protein design via joint conformational landscape and sequence optimization</a>  <font color="#6f6f6f">Nature</font>

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Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications
Naturetech

Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1pamcxX2xLRHFnclYtUFpLZm9CR1RZUUJ5ZlJuSm9uTUtnbzRGRWVCcWI5MW93T1FoR1FsRWc0MWE4N193aVZqLVFmNEtUeXkwT3loa2IwcWhySGJBNGgw?oc=5" target="_blank">Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications</a>  <font color="#6f6f6f">Nature</font>

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Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer
Naturegeneral

Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9NMXNFY2xhbkRTZkZXalY2dm56V0RrMGd2d2sxc0hIR2ctNDhqbDg5RXFIU3BCenNlNXVYd25XTUZvTm5Vb210TWVsRUJWSmFBMmt3YkxrX1NVcDVaT0NJ?oc=5" target="_blank">Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer</a>  <font color="#6f6f6f">Nature</font>

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Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning
Naturegeneral

Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8tdW56NGNzTG1YcVNTQjluTndiRG41OXhRNFdleGJLekFiakszSjNXU3ItUk5XQm5pcXRxc3lfTHpUTFpIekkwbjRDQnZGdWJSVklCeDZvX3p1OW9RaV9z?oc=5" target="_blank">Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning</a>  <font color="#6f6f6f">Nature</font>

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UNICORN: Towards universal cellular expression prediction with a multi-task learning framework
Natureworld

UNICORN: Towards universal cellular expression prediction with a multi-task learning framework

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9CVlpidUhUYlNwZElMX0RSYXVHSmdVc0pqQWNHUHdtMzBRVkYwOE1qSFdyU1dpbkk3VlY0TkpzWFFmSG5tRi1pU25CcHVGVnd6TXQ5Tm5ZZjdsOVNrNHVz?oc=5" target="_blank">UNICORN: Towards universal cellular expression prediction with a multi-task learning framework</a>  <font color="#6f6f6f">Nature</font>

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Predicting gene expression from DNA sequence using deep learning models
Naturegeneral

Predicting gene expression from DNA sequence using deep learning models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5QN1RFRGRTWTFvRjMyajEyWTVrOGNMM3cxV1hKTkl3ZHJCUkx0RWtDQ05fM2RXeTg2T0hIZmdXMFZFQkQ2RzMwWm8wS1dIc2ctMzlCX2Jva2N2RzQ4MXBj?oc=5" target="_blank">Predicting gene expression from DNA sequence using deep learning models</a>  <font color="#6f6f6f">Nature</font>

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Effective gene expression prediction from sequence by integrating long-range interactions
Naturegeneral

Effective gene expression prediction from sequence by integrating long-range interactions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE92S2JseHZ0emFTVV83U2twelEybzk1TVQ4a3FWTk5jbzk2X0tQemlUYnc0MkYyUWs0dTM3SHh2RjNyc1JKWGtRRmxTcnptak8xZTNDRG52cHU5WkdCbDhz?oc=5" target="_blank">Effective gene expression prediction from sequence by integrating long-range interactions</a>  <font color="#6f6f6f">Nature</font>

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Predicting monoclonal antibody binding sequences from a sparse sampling of all possible sequences
Naturegeneral

Predicting monoclonal antibody binding sequences from a sparse sampling of all possible sequences

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE94MHRQemJkUW1qS3NPVjk4c3lfLXAxaFJROHF1UXRRTl80c3czejRJc2NwOWU5TDhhaGR4d0Y0OXhVVFZsLUd6Z3hxd0JaVHBQdFBweDdJTzNzMzFBV1RJ?oc=5" target="_blank">Predicting monoclonal antibody binding sequences from a sparse sampling of all possible sequences</a>  <font color="#6f6f6f">Nature</font>

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Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation
Natureworld

Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jUmpvdE81eHhpNDduRnNEVVFBYks5ZF9pRGJwRnQxNi15dzFMaDRob1pJMGMtMXdGZUI4Qm90Z0ljMjEwcUN6U3RESjZQMGtxa25JV0RBWGF1QjN3SVQw?oc=5" target="_blank">Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation</a>  <font color="#6f6f6f">Nature</font>

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gReLU: a comprehensive framework for DNA sequence modeling and design
Naturegeneral

gReLU: a comprehensive framework for DNA sequence modeling and design

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9MeFFkd0hXeHFqR3dydEVGbUNWNjlNSEpXaUNySUhDMDduaERVNzVJX0R4WUxacHg0OGpydVRvTnVJN1pCaFk0dXhXQ1NJYXJLR1NIWDZza3U2Vk9jVThB?oc=5" target="_blank">gReLU: a comprehensive framework for DNA sequence modeling and design</a>  <font color="#6f6f6f">Nature</font>

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Predicting multiple conformations via sequence clustering and AlphaFold2
Naturegeneral

Predicting multiple conformations via sequence clustering and AlphaFold2

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5xYXB6UEtqcEpEWWtBV3pJNWFpbllXWXhBTXNyR3k2MDRoV2RVbmJNQUo0MHpYMzg2bmpOYlIzSnFDRHBjc0dreTNDNVpVTFlJdVBtdkpJMUNlWEluUmM0?oc=5" target="_blank">Predicting multiple conformations via sequence clustering and AlphaFold2</a>  <font color="#6f6f6f">Nature</font>

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Direct prediction of intrinsically disordered protein conformational properties from sequence
Naturegeneral

Direct prediction of intrinsically disordered protein conformational properties from sequence

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5zU0NUbkJGU1VpeE5OV1ppZVhwX0NZSS1VVm9oUmdpYWFuV2s1MlJsZEViVnhlU1RobnR6VEg3ak9acHJfOEExMkJnOWp2aGVKb2VLdUkwbFk4QU1HU0w0?oc=5" target="_blank">Direct prediction of intrinsically disordered protein conformational properties from sequence</a>  <font color="#6f6f6f">Nature</font>

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TransBind allows precise detection of DNA-binding proteins and residues using language models and deep learning
Naturegeneral

TransBind allows precise detection of DNA-binding proteins and residues using language models and deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBUOTBzdDhxeGpQNWpGUTgxUGNRLVFzVjdCTkJmVDdDNk12WVRfN0JJdzJQNUItWEVDcFdxb0RVeFhzNUNmaWFPMURvVWNJMWpBV2dmRG90ZDlYeUhRNFF3?oc=5" target="_blank">TransBind allows precise detection of DNA-binding proteins and residues using language models and deep learning</a>  <font color="#6f6f6f">Nature</font>

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Highly accurate protein structure prediction with AlphaFold
Naturegeneral

Highly accurate protein structure prediction with AlphaFold

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBJUXpldjZwRzJwYTJocFRyaGtQY2JTM2hONklvUDFHSlJ5ZF9TSXgyTndiTHFGbEpkSHBTRlV2cnk3bktGc1dRWnZ2ZXU0cFhCdzNwWmtobEFJNzRrS09J?oc=5" target="_blank">Highly accurate protein structure prediction with AlphaFold</a>  <font color="#6f6f6f">Nature</font>

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A deep learning model for predicting next-generation sequencing depth from DNA sequence
Naturegeneral

A deep learning model for predicting next-generation sequencing depth from DNA sequence

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1adTJVdVM4UDdFcUtOZUtxTDdsbExrTTctWUU5bTZLV2hXT1NIai1JNU9YUkk0UDJScDlCMEtqNFc4U3NnWF9JLWFhWWlJRUpFcVE4c01OczV4Ykc4MWVF?oc=5" target="_blank">A deep learning model for predicting next-generation sequencing depth from DNA sequence</a>  <font color="#6f6f6f">Nature</font>

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DPFunc: accurately predicting protein function via deep learning with domain-guided structure information
Naturetech

DPFunc: accurately predicting protein function via deep learning with domain-guided structure information

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1YYmsxOUNwZHhRRVNKYkRvTkNlal9pQmJHMVdrU3JNQl8wUk5rNF9GNXp1TzVBNWFxY2ZpVTF3LThWX0JjU1puQzZhVUtoLS13THZlSzJNZXNKWFhtbXFV?oc=5" target="_blank">DPFunc: accurately predicting protein function via deep learning with domain-guided structure information</a>  <font color="#6f6f6f">Nature</font>

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Sequence modeling and design from molecular to genome scale with Evo
Science | AAASgeneral

Sequence modeling and design from molecular to genome scale with Evo

<a href="https://news.google.com/rss/articles/CBMiYEFVX3lxTE1OenpqMzAxN0hQbHlsQklZOTU5QWVpVnR3S2p4RXozYkl1Y29sbXVGLVl6V0dja3RSUVFjckk4YXV5LWxLTXNMbFZHajI5WVZxM3lWNkFqc2pYZ2NFM01sQQ?oc=5" target="_blank">Sequence modeling and design from molecular to genome scale with Evo</a>  <font color="#6f6f6f">Science | AAAS</font>

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Context-aware geometric deep learning for protein sequence design
Naturegeneral

Context-aware geometric deep learning for protein sequence design

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5TclRyWUx3ZW84X2VHdFhfX0gzQW5scVBseXRhNGctejZfZzI0OWdiWVN5NjlWWGE4VUtRQk5UX1p6bVFNYlZUZUkyZ2FQaS1xdTRGeS1hZEpUaDF0cjRR?oc=5" target="_blank">Context-aware geometric deep learning for protein sequence design</a>  <font color="#6f6f6f">Nature</font>

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PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features
Naturegeneral

PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5CVU5iZ3QzY3pQLWREUzR6MFpITUxmUmxid09seWQtc1hBMC1jemkzdWF6VklvcGVLQzNDZl83anhidkp5SEdXX2d1cG91VnpUYzdXTGVRZmExdS0wNkJn?oc=5" target="_blank">PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features</a>  <font color="#6f6f6f">Nature</font>

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SSEmb: A joint embedding of protein sequence and structure enables robust variant effect predictions
Naturegeneral

SSEmb: A joint embedding of protein sequence and structure enables robust variant effect predictions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5tSEJpMWZDS2w3cVgwYTFQSTlTNEhqZDV0MFMtMFRTZGFlOFpHcmdNTl9aMXdYMlRsdlc3SWtsZ3ZzcTJkeUJVYzEtcjg2NmczLXM4elE4RDR4TnBoZWRR?oc=5" target="_blank">SSEmb: A joint embedding of protein sequence and structure enables robust variant effect predictions</a>  <font color="#6f6f6f">Nature</font>

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A method for predicting enzyme substrate specificity residues using homologous sequence information
Wiley Online Librarygeneral

A method for predicting enzyme substrate specificity residues using homologous sequence information

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE9IOE9ycUhfX09YYlNEN1N4RzR6Qmw4bGltMy0xdXZ3ek9YWVRkQ3Q4UXpRVjF0ejA2Vkwxelhoc3FVOUlpMW54TFJwRHJURW5BbjR2bEJjSXZpWHFTX1VLb0hDZVNodlhHUkE?oc=5" target="_blank">A method for predicting enzyme substrate specificity residues using homologous sequence information</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Predictive analyses of regulatory sequences with EUGENe
Naturegeneral

Predictive analyses of regulatory sequences with EUGENe

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBrZDBTUzFkSDFPSFVOMUFnVjh1SHl5emIwVFpvS2RSWVNBTTBpOG5IV2hKeV9sZEJaUnFFV3FfWkJOMGQ4SEZZalNoVlhJRElfQ1luS191c05GNk80WDQ4?oc=5" target="_blank">Predictive analyses of regulatory sequences with EUGENe</a>  <font color="#6f6f6f">Nature</font>

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Structure-based protein function prediction using graph convolutional networks
Natureworld

Structure-based protein function prediction using graph convolutional networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9SUTJyMFp4Q09EVlkyZlBycmVycS1FeUVqeVlsM3o0MTE4UE84ZENtYzZlTFMwQWdObEh3anN1bVdNWDhJZjllU3ZFTmpxaDRPQ0k0c2VSWVF6TWRMdVZz?oc=5" target="_blank">Structure-based protein function prediction using graph convolutional networks</a>  <font color="#6f6f6f">Nature</font>

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Large-scale predictions of alternative protein conformations by AlphaFold2-based sequence association
Naturegeneral

Large-scale predictions of alternative protein conformations by AlphaFold2-based sequence association

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1hV19yM3czWXpCNl96NU10U2hTYlMxVjFhRFRaLW9iQi1pcG5LVDU0WnV2QUtaaGJMaDF5VHdUQmNSVkxZNlRVNmtCekhUS2Y5VDdNVzBkYWxUTmh2RTJR?oc=5" target="_blank">Large-scale predictions of alternative protein conformations by AlphaFold2-based sequence association</a>  <font color="#6f6f6f">Nature</font>

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