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

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Probe-based identification of metal-binding sites using deep learning representations
Lead StoryNaturegeneral
Jun 30

Probe-based identification of metal-binding sites using deep learning representations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1vaGszcE9udjFLeVloU0tEQ2JTV0FkNGZYZU5Nc2RubEhfODJuUENNRFdpVFIwQUUyUklxTHdVTHNIdlJBaElGN0ZuUGlidnU3MS0tTkhQQnRVcjdTckUw?oc=5" target="_blank">Probe-based identification of metal-binding sites using deep learning representations</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Predicting binding sites"

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29 stories displayed
Exploring the computational methods for protein-ligand binding site prediction
Science Partner Journalsgeneral

Exploring the computational methods for protein-ligand binding site prediction

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBIektwb0poMDBjSl85QmszeW5ZTjV1ZjlBbnp2UmVWWjFHZkV5RTgtcFBqOTIwcXhzbFhLdUlJSXNSakxFalZyM2QtOG1CWjFBbFJEWEdfczByN1FvWUxHQ2VfSXM?oc=5" target="_blank">Exploring the computational methods for protein-ligand binding site prediction</a>  <font color="#6f6f6f">Science Partner Journals</font>

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Deep-learning approach rapidly predicts where metals bind within proteins
Phys.orggeneral

Deep-learning approach rapidly predicts where metals bind within proteins

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTE0yWHpncmNmeldPZ3RLbVZYMllvLTZqUXhjMkZDNFlYekxXQ0lMVzV2aVZQWS01YUVMeXRrWnNHNHZ4cm1Mc3lyZGE2cnpUazc3TWxkY0VQcHVwS3hWRm1VXzBWTDNnVzZqMUxUTXI1UC0wWDYwbnlzQUJEbFI?oc=5" target="_blank">Deep-learning approach rapidly predicts where metals bind within proteins</a>  <font color="#6f6f6f">Phys.org</font>

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Benchmarking HelixFold3-Predicted Holo Structures for Relative Free Energy Perturbation Calculations
ACS Publicationsgeneral

Benchmarking HelixFold3-Predicted Holo Structures for Relative Free Energy Perturbation Calculations

<a href="https://news.google.com/rss/articles/CBMiqAFBVV95cUxOVXY5ZnJvNllWU1EyWTVPd2ZUM0FOYTNIYkw2YUdIS2MtbW9hOUNYX2prbzVFTVRYZVQ0OE9ibjBNaUctUTVNbGoyeGpya2ttbzBYRDF6ZUZZdGNxSUNiaGYzMm5sb1FtZHlBWUQ0eGtLenZIVGQ5c3NNNS1HYS0wZUhRV1JoU2ozdVFxeEF2cDVUM1JDVm13TWk2RjVEeGkxVEZnNXRXdzA?oc=5" target="_blank">Benchmarking HelixFold3-Predicted Holo Structures for Relative Free Energy Perturbation Calculations</a>  <font color="#6f6f6f">ACS Publications</font>

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AlphaFold in Drug Discovery: What It Has and Hasn't Changed
Drug Discovery Newsgeneral

AlphaFold in Drug Discovery: What It Has and Hasn't Changed

<a href="https://news.google.com/rss/articles/CBMiwgFBVV95cUxQZHlDazFPc0ZzSXowbHhuOUs0WjlITzBQWVlNRldBclJ0WjhiQzd0eTNfYzRtTk1VU1dnZzU5ZDRCTDV0a1Q0b3hQZFdjdUdvSF9LaFJvWmJ6d0VuUnNpNTRkdUliRzNHQkVKekJreGlLalhPR0Jyam9sUEpnVnpYVk5UZl9DbkV1WnMzMGZSR0txNEZHdkd5MlVOMkRIcjZpaXpxRDFZZTlQZkc1STQxM0ZZTldMdVA4Yk15MGlCYUNaUQ?oc=5" target="_blank">AlphaFold in Drug Discovery: What It Has and Hasn't Changed</a>  <font color="#6f6f6f">Drug Discovery News</font>

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Multivalent ion binding site identification with structure-based deep learning
Naturegeneral

Multivalent ion binding site identification with structure-based deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5OUXlKbHg0dU5MUXhGUDJFSUo4VFFhWWtPV1A0a1lwUmRoUm1DR0xIblVVTER3RjJJa3lNanE3RjQ1YnktUVBPdlA4WGlzZTRLSm9ON3ZnYkx4TjRGNm9B?oc=5" target="_blank">Multivalent ion binding site identification with structure-based deep learning</a>  <font color="#6f6f6f">Nature</font>

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The Google DeepMind Spinoff Chasing Hidden Drug Targets
IEEE Spectrumtech

The Google DeepMind Spinoff Chasing Hidden Drug Targets

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE1nNHNVZHB0cUdyY3YyVjE5MnhwdUNTUzJoM1hKaGRDWHM1aThTWGlRWXVCQXNmZWJHeFE3QUhuT1FGRkdXYmFRNjlvdUJJYjc0RkZvQ09HS0l0S01MT1RoYURicXAyNEJ4QU00?oc=5" target="_blank">The Google DeepMind Spinoff Chasing Hidden Drug Targets</a>  <font color="#6f6f6f">IEEE Spectrum</font>

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AI Tool Could Speed Discovery of New Cancer Drug Targets
Dana-Farber Cancer Institutetech

AI Tool Could Speed Discovery of New Cancer Drug Targets

<a href="https://news.google.com/rss/articles/CBMigwFBVV95cUxPY2I3SlQtenlyeU8xODlSRmVLMnMzR3V3MlZvNF9QMEZ4U05YNXRUX0g4QXZXeDJNb2hxR2d1OGNvV1JxdVkwcUxJdWl2WVgtVHVQUFVwYk56Zkc4X2RaWF9xUkFFcm16Z3FSTW50QWtQWWY0MmNNbFY4aWptUUJkbzM3dw?oc=5" target="_blank">AI Tool Could Speed Discovery of New Cancer Drug Targets</a>  <font color="#6f6f6f">Dana-Farber Cancer Institute</font>

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The influence of ligands on AlphaFold3 prediction of cryptic pockets
Naturegeneral

The influence of ligands on AlphaFold3 prediction of cryptic pockets

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00ZlVwdmxqZkUyckk5QWN2RnFIV2dVeTh4ZFNVZXpPYTdXdU5KNUNDSWxmeFVDVHJjVGVDZkdmb0ZYMXdvajYzOGRza216THo5LWFvVmo1TlF0bDh6bFZv?oc=5" target="_blank">The influence of ligands on AlphaFold3 prediction of cryptic pockets</a>  <font color="#6f6f6f">Nature</font>

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Unified protein–small molecule graph neural networks for binding site prediction
PNASworld

Unified protein–small molecule graph neural networks for binding site prediction

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE9ldGN4VmFDSWY0RmFNNUVKX3FhZktrZGY1aTJLdmJpUkZhTVdWSGV1YVVoS0JrTkdIcGZHd0xDWG9RdmZHUzM3Q1F5eDBvQWRoMWRCUmFlMVV1NTRO?oc=5" target="_blank">Unified protein–small molecule graph neural networks for binding site prediction</a>  <font color="#6f6f6f">PNAS</font>

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Deep Learning for Predicting Biomolecular Binding Sites of Proteins | Research
Science Partner Journalsgeneral

Deep Learning for Predicting Biomolecular Binding Sites of Proteins | Research

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8xNU5oa2VuZ29RdENCNXhTU1VrMG4zcHJNY1hOSUR1bzQ1X3kxbWFuTzM2Njh2R1hJbjNCNUd4UTYzTHl5VElJQV94QmRBVnVRd3E1SlB3MXpFQ1hTWHNB?oc=5" target="_blank">Deep Learning for Predicting Biomolecular Binding Sites of Proteins | Research</a>  <font color="#6f6f6f">Science Partner Journals</font>

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AF2BIND: predicting small-molecule binding sites using the pair representation of AlphaFold2
Naturetech

AF2BIND: predicting small-molecule binding sites using the pair representation of AlphaFold2

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4wQWZXLWp0LVhJMFUxZ1llYVB6Vm1sMWN6TzBSRVZCNjVXOVZMN3lGRUNpeWl1Ym9aUl9HMkI1NXVJUDFOX3BsV043VGFPOVd5aVdJNUxfOHlPZU1fWVhr?oc=5" target="_blank">AF2BIND: predicting small-molecule binding sites using the pair representation of AlphaFold2</a>  <font color="#6f6f6f">Nature</font>

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LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and protein
Naturegeneral

LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and protein

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5oWXFXVGR4V1ZYRFVDN1I1MVJpYUFRaFE5cWg4dnRYaU8ydjdJMnFvVlBWOVVmbm5kMUp3MnRkcFJYakgtQm1ZcjQyQWxqam1MRG1fSnZYSWpkSkR5M2hV?oc=5" target="_blank">LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and protein</a>  <font color="#6f6f6f">Nature</font>

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A DNABERT based deep learning framework for predicting transcription factor binding sites
Naturegeneral

A DNABERT based deep learning framework for predicting transcription factor binding sites

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5tSUM3bVQ2Z0J2Z1dUajNHeFV3dGRCUW5CRkZxNUdCNDZlamdwV01lUHcyM1J6VHBvam5yRXdqRlpILU9YTlRTa2xNSUJpeVV2a2otWXJ3NVIwUWVEU3lR?oc=5" target="_blank">A DNABERT based deep learning framework for predicting transcription factor binding sites</a>  <font color="#6f6f6f">Nature</font>

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AI-guided competitive docking for virtual screening and compound efficacy prediction
Naturetech

AI-guided competitive docking for virtual screening and compound efficacy prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80VHZleHpac21RaDg2QXRoZkhTbUk1Vk1IdGk0aEdZcm1ZMGdWT0NsWmZ1WW4wZUFpVGxuQW1QeDRBVEZIZ3M0UkZrQWkwckp0RHd0OEJpc1dhVHlaemNz?oc=5" target="_blank">AI-guided competitive docking for virtual screening and compound efficacy prediction</a>  <font color="#6f6f6f">Nature</font>

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Accurate prediction of protein–ATP binding sites based on a protein pretrained large language model and a fractional-order convolutional neural network
Naturetech

Accurate prediction of protein–ATP binding sites based on a protein pretrained large language model and a fractional-order convolutional neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5sX2Fvc2x2bHR1akJQc0E0Q2dYNlBPa21sV1hDYVVLNkdXblNoaHYzS0lnT2tvcHVYdkxUcG9GUkVnS1kyYkg0czY5Tjd2RTRrMTc2NmxYWnZOWjVHSVNR?oc=5" target="_blank">Accurate prediction of protein–ATP binding sites based on a protein pretrained large language model and a fractional-order convolutional neural network</a>  <font color="#6f6f6f">Nature</font>

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Predicting binding sites from unbound versus bound protein structures
Natureworld

Predicting binding sites from unbound versus bound protein structures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9GLWZxX3BwUWNrTFppbE1faWJUbm8wbmtpd1hXeHJmcC1ST3JMZjdRdzFXNmVFSW9FdDVabHI4Rk5TS0ZYSWlKNm5JQ2V0cnJpd3JUNzZQMk5UaW90ekJB?oc=5" target="_blank">Predicting binding sites from unbound versus bound protein structures</a>  <font color="#6f6f6f">Nature</font>

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Predicting small molecule–RNA interactions without RNA tertiary structures
Naturegeneral

Predicting small molecule–RNA interactions without RNA tertiary structures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE92LXRRTWxuMjUwRFVPaW94Q3RYSmVyUGFnclVUSzAwUTJaV1JVRll5VFE4aldZLXJERzJkMU5tMmQ0LUJoNnpRYjloamNqQk92QTJJM0RhdmpaTEhWaFZ3?oc=5" target="_blank">Predicting small molecule–RNA interactions without RNA tertiary structures</a>  <font color="#6f6f6f">Nature</font>

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Assessing the potential of deep learning for protein–ligand docking
Naturegeneral

Assessing the potential of deep learning for protein–ligand docking

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBNRDhQMWdHY1M3LUpTazh4Ylh3VVN5WVFhOEtXV3pVOEE2VUZOdjdMVlV4N2tYVVZuSGxzMmx6aEQ4dlNaRDN3YXpjS05GQ0diYmtQb3diTE1WbU91MVRv?oc=5" target="_blank">Assessing the potential of deep learning for protein–ligand docking</a>  <font color="#6f6f6f">Nature</font>

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Predicting the binding residues of four small molecule ligands by utilizing ensemble algorithms with additional correlation features
Naturegeneral

Predicting the binding residues of four small molecule ligands by utilizing ensemble algorithms with additional correlation features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9vR05adXhpNzVsdmN5RGd5cW43UWpueVJNVXlYd2llUnlZZWxSR0NJSkhScTlPN2FlMEFkVUFoaEQ2MWZuMDNpNFRKU1JHQlhlVnJkLVVWTWs5M3VFc0pZ?oc=5" target="_blank">Predicting the binding residues of four small molecule ligands by utilizing ensemble algorithms with additional correlation features</a>  <font color="#6f6f6f">Nature</font>

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Highly accurate carbohydrate-binding site prediction with DeepGlycanSite
Naturegeneral

Highly accurate carbohydrate-binding site prediction with DeepGlycanSite

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9iVFdsVUxQb293Ml93emJ1MzVobVpMcVhETnlQODRCZmVOcklPQTNLSDYzNmNyMXc3Y2RpbHByWUxCNmZsdWNwRHlPNUxLNTVMSjBPUWtjZlFpVURLRXNF?oc=5" target="_blank">Highly accurate carbohydrate-binding site prediction with DeepGlycanSite</a>  <font color="#6f6f6f">Nature</font>

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Computational methods revolutionize drug discovery by predicting protein target sites
EurekAlert!general

Computational methods revolutionize drug discovery by predicting protein target sites

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE80UmxYY2dHZUlNTVFlME1nTllzYThzcFJ5NGE5VEpzNG8zV2x4Vzc3ZVh1UWVOWWVrRHhpcDExZEo1S3JaNlpVcjdXZ1FUTVZpM3JxeFdKRXlFUE1z?oc=5" target="_blank">Computational methods revolutionize drug discovery by predicting protein target sites</a>  <font color="#6f6f6f">EurekAlert!</font>

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Classification of likely functional class for ligand binding sites identified from fragment screening
Natureworld

Classification of likely functional class for ligand binding sites identified from fragment screening

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBYRVJ3aWRMOENqblB3Tm5rLUJmZW9raVAtREFIMDN1NlV1bjJCT0FuSVdscGN5a09sU2NoV28zZ21iMHpqdHdtTWxaZ21yd09QOGlFYUVka3Nicm45a3FB?oc=5" target="_blank">Classification of likely functional class for ligand binding sites identified from fragment screening</a>  <font color="#6f6f6f">Nature</font>

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Improving the generalizability of protein-ligand binding predictions with AI-Bind
Naturetech

Improving the generalizability of protein-ligand binding predictions with AI-Bind

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Kc1hrS3h0azllMnZZcl82ZDlURmRVOTZER1N2enpYZUQwZ0JDNmZDek9Xa2R0SG51SXNqS0JMakMxQmhlU3ZmZF9YY0V2c2JsWl9qazlpMFljaUx3T1RV?oc=5" target="_blank">Improving the generalizability of protein-ligand binding predictions with AI-Bind</a>  <font color="#6f6f6f">Nature</font>

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Literature as data – using large language models to prioritise protein binding pockets
European Pharmaceutical Reviewgeneral

Literature as data – using large language models to prioritise protein binding pockets

<a href="https://news.google.com/rss/articles/CBMi3AFBVV95cUxPYzlDX19INTR1Zzhpa3UxWjlDUzN0OXM2azZaNWtZbVZ2NmdscGVrM3dYNWQxamN5WDFaZ3lrQjRHR1pWZS1qNzh0RXhKSnRKSHlpb1BlX3U1eE9VdXFhcXczRDdyclI1WXMtd25WMkVURTRieGYtc19ZRzdrdXF5TFVFMFVLVjJobExMV1dUX2g4S1VyTlVIZEplaFItT3ZORTI1b2tjYk9RVTFvcS1uUlRzb1VDUG5vUVVLWl95NFVjSUJRaUo3WnZpLURMQUVZMmswVmRySFR4cUNJ?oc=5" target="_blank">Literature as data – using large language models to prioritise protein binding pockets</a>  <font color="#6f6f6f">European Pharmaceutical Review</font>

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Improving detection of protein-ligand binding sites with 3D segmentation
Naturegeneral

Improving detection of protein-ligand binding sites with 3D segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE05MnpwVFdVN1dOV3dkNW0xejBQUkozR0NIWGc2V3FoZGFERGVsWE41V2pKNU9Idm5nT0JiandaRktqcV94SnZfUFpMYXZDQnkxcUxONlhtSmVHZ2RHX2k4?oc=5" target="_blank">Improving detection of protein-ligand binding sites with 3D segmentation</a>  <font color="#6f6f6f">Nature</font>

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A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation
PNASworld

A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTFBlS0M5ekc3ak9zRy1BdFNxYmtOMVQtcVZEU0t5bHFKU1BWVzB5S01TOE0taXZYNDZqeVIxcENuTDhhend4NU1IUDRUMmUzX1RPM09kdmR1cjhmNkdh?oc=5" target="_blank">A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation</a>  <font color="#6f6f6f">PNAS</font>

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Dual modality feature fused neural network integrating binding site information for drug target affinity prediction
Naturegeneral

Dual modality feature fused neural network integrating binding site information for drug target affinity prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9FNjVna3RlWFhwSXRTcnFIUmZVRE9ibDNOaW5wOFN0S09jVUY0d2VlZmlUd0VXZVp3Tl9YZ2gxeFVXTWNzRjJNMlVPOFA3VjdqeTNPd1hDZkpRVTZlV2pZ?oc=5" target="_blank">Dual modality feature fused neural network integrating binding site information for drug target affinity prediction</a>  <font color="#6f6f6f">Nature</font>

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Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
Naturetech

Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3cHI1cnFrN1Ezei10STN5bTB0N1FnNnd4clZNSlp0S2lReWRuQmF2bzNVdmZSOXh4SmRsRXFOVnZIam1KeE5kelE3a0d4V1VwYTZXdjdQOEdNUXVLYVdj?oc=5" target="_blank">Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning</a>  <font color="#6f6f6f">Nature</font>

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Spatiotemporal identification of druggable binding sites using deep learning
Naturegeneral

Spatiotemporal identification of druggable binding sites using deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Wd1kxdGVPTk5ENWlRUkFhVk90Y1VoM296RmZOVHEzX3FDUHZ2ZlFfQWdjNTZTR1RmZ3NnQ0FFYkVvVXlIVVZGQkpUNFJuLXR2UDR4RmQtSVI1am9udkVV?oc=5" target="_blank">Spatiotemporal identification of druggable binding sites using deep learning</a>  <font color="#6f6f6f">Nature</font>

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"Predicting binding sites" — Live Google News Trends & Headlines