Search results for "binding"

Hits ?▲	Authors	Title	Venue	Year	Link
9	Martin Larralde, Georg Zeller	PyHMMER: a Python library binding to HMMER for efficient sequence analysis.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yasser Mohseni Behbahani, Elodie Laine, Alessandra Carbone	Deep Local Analysis deconstructs protein-protein interfaces and accurately estimates binding affinity changes upon mutation.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Davor Orsolic, Tomislav Smuc	Dynamic applicability domain (dAD): compound-target binding affinity estimates with local conformal prediction.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan 0001, Qi Liu 0019, De-Shuang Huang	Computational prediction and characterization of cell-type-specific and shared binding sites.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yan Zhu 0006, Lingling Zhao, Naifeng Wen, Junjie Wang 0005, Chunyu Wang	DataDTA: a multi-feature and dual-interaction aggregation framework for drug-target binding affinity prediction.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Mogan Gim, Junseok Choe, Seungheun Baek, Jueon Park, Chaeeun Lee, Minjae Ju, Sumin Lee, Jaewoo Kang	ArkDTA: attention regularization guided by non-covalent interactions for explainable drug-target binding affinity prediction.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yang Hua, Xiaoning Song, Zhen-Hua Feng, Xiaojun Wu 0001	MFR-DTA: a multi-functional and robust model for predicting drug-target binding affinity and region.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King	Protein-ligand binding affinity prediction exploiting sequence constituent homology.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	My-Diem Nguyen Pham, Thanh-Nhan Nguyen, Le Son Tran, Que-Tran Bui Nguyen, Thien-Phuc Hoang Nguyen, Thi Mong Quynh Pham, Hoai-Nghia Nguyen, Hoa Giang, Minh-Duy Phan, Vy Nguyen	epiTCR: a highly sensitive predictor for TCR-peptide binding.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Alexander Myronov, Giovanni Mazzocco, Paulina Król, Dariusz Plewczynski	BERTrand - peptide:TCR binding prediction using Bidirectional Encoder Representations from Transformers augmented with random TCR pairing.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Vincenzo Laveglia, Milana Bazayeva, Claudia Andreini, Antonio Rosato	Hunting down zinc(II)-binding sites in proteins with distance matrices.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Zixuan Wang, Shuwen Xiong, Yun Yu, Jiliu Zhou, Yongqing Zhang	HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yitian Fang, Yi Jiang, Leyi Wei, Qin Ma, Zhixiang Ren, Qianmu Yuan, Dong-Qing Wei	DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Genki Kudo, Takumi Hirao, Ryunosuke Yoshino, Yasuteru Shigeta, Takatsugu Hirokawa	Pocket to concavity: a tool for the refinement of protein-ligand binding site shape from alpha spheres.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Jia-Ning Li, Guang Yang, Peng-Cheng Zhao, Xue-Xin Wei, Jian-Yu Shi	CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Zhi Jin, Tingfang Wu, Taoning Chen, Deng Pan, Xuejiao Wang, Jingxin Xie, Lijun Quan, Qiang Lyu	CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Ziqi Chen, Baoyi Zhang, Hongyu Guo, Prashant S. Emani, Trevor Clancy, Chongming Jiang, Mark Gerstein, Xia Ning, Chao Cheng, Martin Renqiang Min	Binding peptide generation for MHC Class I proteins with deep reinforcement learning.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Dani Korpela, Emmi Jokinen, Alexandru Dumitrescu, Jani Huuhtanen, Satu Mustjoki, Harri Lähdesmäki	EPIC-TRACE: predicting TCR binding to unseen epitopes using attention and contextualized embeddings.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Wei Qu, Ronghui You, Hiroshi Mamitsuka, Shanfeng Zhu	DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction.	Bioinform.	2023	DBLP DOI BibTeX RDF
9	Yunan Luo, Yang Liu, Jian Peng 0001	Calibrated geometric deep learning improves kinase-drug binding predictions.	Nat. Mac. Intell.	2023	DBLP DOI BibTeX RDF
9	Yicheng Gao, Yuli Gao, Yuxiao Fan, Chengyu Zhu, Zhiting Wei, Chi Zhou 0003, Guohui Chuai, Qinchang Chen, He Zhang, Qi Liu 0019	Pan-Peptide Meta Learning for T-cell receptor-antigen binding recognition.	Nat. Mac. Intell.	2023	DBLP DOI BibTeX RDF
9	Duolin Wang, Fei He 0003, Yang Yu, Dong Xu 0002	Meta-learning for T cell receptor binding specificity and beyond.	Nat. Mac. Intell.	2023	DBLP DOI BibTeX RDF
9	Vitalii Stebliankin, Azam Shirali, Prabin Baral, Jimeng Shi, Prem Chapagain, Kalai Mathee, Giri Narasimhan	Evaluating protein binding interfaces with transformer networks.	Nat. Mac. Intell.	2023	DBLP DOI BibTeX RDF
9	Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola	Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jobst Heitzig, Jörg Oechssler, Christoph Pröschel, Niranjana Ragavan, Yat Long Lo	Improving International Climate Policy via Mutually Conditional Binding Commitments.	CoRR	2023	DBLP DOI BibTeX RDF
9	Aysenaz Ezgi Ergin, Deniz Turgay Altilar	Consensus Algorithm For Calculation Of Protein Binding Affinity Using Multiple Models.	CoRR	2023	DBLP DOI BibTeX RDF
9	Partho Ghosh, Md. Aynal Haque	ResDTA: Predicting Drug-Target Binding Affinity Using Residual Skip Connections.	CoRR	2023	DBLP DOI BibTeX RDF
9	Seokhyun Moon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim	PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening.	CoRR	2023	DBLP DOI BibTeX RDF
9	Niels Mommen, Bart Jacobs 0002	Verifying C++ dynamic binding.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jobst Heitzig, Jörg Oechssler, Christoph Pröschel, Niranjana Ragavan, Richie YatLong Lo	Improving International Climate Policy via Mutually Conditional Binding Commitments.	CoRR	2023	DBLP DOI BibTeX RDF
9	Xinxing Yang, Genke Yang, Jian Chu	GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction.	CoRR	2023	DBLP DOI BibTeX RDF
9	Md. Masud Rana 0008, Duc Duy Nguyen	Geometric Graph Learning with Extended Atom-Types Features for Protein-Ligand Binding Affinity Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
9	Usama Sardar, Sarwan Ali, Muhammad Sohaib Ayub, Muhammad Shoaib, Khurram Bashir, Imdadullah Khan, Murray Patterson	Sequence-Based Nanobody-Antigen Binding Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
9	Gilles Dowek, Thérèse Hardin, Claude Kirchner	Binding Logic: proofs and models.	CoRR	2023	DBLP DOI BibTeX RDF
9	Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie 0003, Tao Qin 0001, Kun He 0001, Tie-Yan Liu, Rui Yan 0001	FABind: Fast and Accurate Protein-Ligand Binding.	CoRR	2023	DBLP DOI BibTeX RDF
9	Lech Duraj, Ross J. Kang, Hoang La, Jonathan Narboni, Filip Pokrývka, Clément Rambaud, Amadeus Reinald	The χ-binding function of d-directional segment graphs.	CoRR	2023	DBLP DOI BibTeX RDF
9	Nimisha Ghosh, Daniele Santoni, Indrajit Saha, Giovanni Felici	Predicting Transcription Factor Binding Sites using Transformer based Capsule Network.	CoRR	2023	DBLP DOI BibTeX RDF
9	Maria Alejandra Ramirez, Yoav Kolumbus, Rosemarie Nagel, David H. Wolpert, Jürgen Jost	Game Manipulators - the Strategic Implications of Binding Contracts.	CoRR	2023	DBLP DOI BibTeX RDF
9	Colin Zhang, Yang Ha	Developing novel ligands with enhanced binding affinity for the sphingosine 1-phosphate receptor 1 using machine learning.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yang Wang, Zanyu Shi, Timothy Richardson, Kun Huang, Pathum Weerawarna, Yijie Wang	Building explainable graph neural network by sparse learning for the drug-protein binding prediction.	CoRR	2023	DBLP DOI BibTeX RDF
9	Shiwei Liu, Tian Zhu, Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang	Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model.	CoRR	2023	DBLP DOI BibTeX RDF
9	Daeseok Lee, Bonggun Shin, Jeunghyun Byun	Boosting Convolutional Neural Networks' Protein Binding Site Prediction Capacity Using SE(3)-invariant transformers, Transfer Learning and Homology-based Augmentation.	CoRR	2023	DBLP DOI BibTeX RDF
9	Pablo Herrera-Nieto, Adrià Pérez, Gianni De Fabritiis	Binding-and-folding recognition of an intrinsically disordered protein using online learning molecular dynamics.	CoRR	2023	DBLP DOI BibTeX RDF
9	Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau	Discovering Variable Binding Circuitry with Desiderata.	CoRR	2023	DBLP DOI BibTeX RDF
9	Ho-Joon Lee, Prashant S. Emani, Mark B. Gerstein	Improved prediction of ligand-protein binding affinities by meta-modeling.	CoRR	2023	DBLP DOI BibTeX RDF
9	Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik	Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment.	CoRR	2023	DBLP DOI BibTeX RDF
9	Shikun Feng, Minghao Li, Yinjun Jia, Wei-Ying Ma, Yanyan Lan	Protein-ligand binding representation learning from fine-grained interactions.	CoRR	2023	DBLP DOI BibTeX RDF
9	Dibyayan Chakraborty, L. Sunil Chandran, Dalu Jacob, Raji R. Pillai	χ-binding functions for squares of bipartite graphs and its subclasses.	CoRR	2023	DBLP DOI BibTeX RDF
9	Ruinan Ma, Yu-an Tan 0001, Shangbo Wu, Tian Chen, Yajie Wang, Yuanzhang Li	Unified High-binding Watermark for Unconditional Image Generation Models.	CoRR	2023	DBLP DOI BibTeX RDF
9	Daniel Flam-Shepherd, Alán Aspuru-Guzik	Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files.	CoRR	2023	DBLP DOI BibTeX RDF
9	Shuo Zhang, Lei Xie	Protein Language Model-Powered 3D Ligand Binding Site Prediction from Protein Sequence.	CoRR	2023	DBLP DOI BibTeX RDF
9	Wenwu Zeng, Dafeng Lv, Wenjuan Liu, Shaoliang Peng	ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning.	CoRR	2023	DBLP DOI BibTeX RDF
9	Zhangli Lu, Chuqi Lei, Kaili Wang, Libo Qin 0001, Jing Tang 0002, Min Li 0007	DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jiaxian Yan, Zhaofeng Ye, Ziyi Yang, Chengqiang Lu, Shengyu Zhang, Qi Liu, Jiezhong Qiu	Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
9	Charles London, Douglas Brown, Wenduan Xu, Sezen Vatansever, Christopher James Langmead, Dimitri Kartsaklis, Stephen Clark, Konstantinos Meichanetzidis	Peptide Binding Classification on Quantum Computers.	CoRR	2023	DBLP DOI BibTeX RDF
9	Wengong Jin, Siranush Sarkizova, Xun Chen, Nir Hacohen, Caroline Uhler	Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation.	CoRR	2023	DBLP DOI BibTeX RDF
9	S. Banerjee, S. He Yuxun, S. Konakanchi, L. Ogunfowora, S. Roy, S. Selvaras, Laia Domingo, M. Chehimi, M. Djukic, C. Johnson	A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yang Zhang, Wenbing Huang 0001, Zhewei Wei, Ye Yuan, Zhaohan Ding	EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
9	Divya Nori, Simon V. Mathis, Amir Shanehsazzadeh	Evaluating Zero-Shot Scoring for In Vitro Antibody Binding Prediction with Experimental Validation.	CoRR	2023	DBLP DOI BibTeX RDF
9	Pengfei Zhang, Seo-Jin Bang, Heewook Lee	Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
9	Duc-Vu Nguyen, Quoc-Nam Nguyen	Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education.	CoRR	2023	DBLP DOI BibTeX RDF
9	V. A. Aksyuk	Consciousness is learning: predictive processing systems that learn by binding may perceive themselves as conscious.	CoRR	2023	DBLP DOI BibTeX RDF
9	Bill Tomlinson, Andrew W. Torrance, Rebecca W. Black, Donald J. Patterson	Late-Binding Scholarship in the Age of AI: Navigating Legal and Normative Challenges of a New Form of Knowledge Production.	CoRR	2023	DBLP DOI BibTeX RDF
9	Laia Domingo, M. Djukic, C. Johnson, Florentino Borondo	Hybrid quantum-classical convolutional neural networks to improve molecular protein binding affinity predictions.	CoRR	2023	DBLP DOI BibTeX RDF
9	Minsi Ren, Bowen Gao, Bo Qiang, Yanyan Lan	Delta Score: Improving the Binding Assessment of Structure-Based Drug Design Methods.	CoRR	2023	DBLP DOI BibTeX RDF
9	Joao Victor de Souza, Victor H. R. Nogueira, Alessandro S. Nascimento	Ligand binding free energy evaluation by Monte Carlo Recursion.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Ke Li, Hongwei Wu, Zhenyu Yue, Yu Sun, Chuan Xia	A convolutional network and attention mechanism-based approach to predict protein-RNA binding residues.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Gaili Li, Yongna Yuan, Ruisheng Zhang	Ensemble of local and global information for Protein-Ligand Binding Affinity Prediction.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Helmi Husaini Zainal Fithri, Zalikha Ibrahim, Ernie Zuraida Ali	Impact of GSK199 and GSK106 binding on protein arginine deiminase IV stability and flexibility: A computational approach.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Gelany Aly Abdelkader, Soualihou Ngnamsie Njimbouom, Tae-Jin Oh, Jeong-Dong Kim	ResBiGAAT: Residual Bi-GRU with attention for protein-ligand binding affinity prediction.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Yuemin Liu, Hana F. Sulaiman, Bruce R. Johnson, Rulong Ma, Yunxiang Gao, Harshica Fernando, Ananda Amarasekara, Andrea Ashley-Oyewole, Huajun Fan, Heaven N. Ingram, James M. Briggs	QM/MM study of N501 involved intermolecular interaction between SARS-CoV-2 receptor binding domain and antibody of human origin.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Elaheh Movahedi, Hafez Razmazma, Alireza Rezvani, Ali Ebrahimi	Binding profile of a mixed-ligand silver(I) complex with DNA and Topoisomerase I.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Atanuka Paul, Sabyashachi Mishra	Deciphering the role of the two metal-binding sites of DapE enzyme via metal substitution.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Shraddha Parate, Vikas Kumar, Jong Chan Hong, Keun Woo Lee	Investigation of Macrocyclic mTOR Modulators of Rapamycin Binding Site via Pharmacoinformatics Approaches.	Comput. Biol. Chem.	2023	DBLP DOI BibTeX RDF
9	Yann Braouezec, Keyvan Kiani	Economic foundations of generalized games with shared constraint: Do binding agreements lead to less Nash equilibria?	Eur. J. Oper. Res.	2023	DBLP DOI BibTeX RDF
9	Ke Chen, Lili Ge, Guorui Liu	Integrated in silico-in vitro rational design of oncogenic EGFR-derived specific monoclonal antibody-binding peptide mimotopes.	J. Bioinform. Comput. Biol.	2023	DBLP DOI BibTeX RDF
9	Hongliang Zou, Zizheng Yu, Zhijian Yin	Integrating temporal and spatial variabilities for identifying ion binding proteins in phage.	J. Bioinform. Comput. Biol.	2023	DBLP DOI BibTeX RDF
9	Ali Adel Dawood	Simulate the agarose gel of the receptor binding domain in Omicron's spike protein inserted into the pGEM®-T Easy vector using SpeI and SacI restriction enzymes.	Int. J. Comput. Biol. Drug Des.	2023	DBLP DOI BibTeX RDF
9	Hang Xu, Xianfu Yi, Xutong Fan, Chengyue Wu, Wei Wang, Xinlei Chu, Shijie Zhang, Xiaobao Dong, Zhao Wang, Jianhua Wang, Yao Zhou, Ke Zhao, Hongcheng Yao, Nan Zheng, Junwen Wang, Yupeng Chen, Dariusz Plewczynski, Pak Chung Sham, Kexin Chen, Dandan Huang, Mulin Jun Li	Inferring CTCF-binding patterns and anchored loops across human tissues and cell types.	Patterns	2023	DBLP DOI BibTeX RDF
9	Sheng-Wei Lin, Eugenia Y. Huang, Kai-Teng Cheng	A binding tie: why do customers stick to omnichannel retailers?	Inf. Technol. People	2023	DBLP DOI BibTeX RDF
9	Sri Kusumadewi, Linda Rosita, Elyza Gustri Wahyuni	Implementation of fuzzy associative memory toward optimizing a neural network model to predict total iron binding capacity.	Biomed. Signal Process. Control.	2023	DBLP DOI BibTeX RDF
9	Benjamin Schwartz	Service Binding Mapping for DNS Servers.	RFC	2023	DBLP DOI BibTeX RDF
9	Ben Schwartz, Mike Bishop, Erik Nygren	Service Binding and Parameter Specification via the DNS (SVCB and HTTPS Resource Records).	RFC	2023	DBLP DOI BibTeX RDF
9	Massimo Pregnolato, Paola Zizzi	SARS-CoV-2 spike and ACE2 entanglement-like binding.	Quantum Mach. Intell.	2023	DBLP DOI BibTeX RDF
9	Sayed Haidar Abbas Raza, Ruimin Zhong, Shen Xing, Xiaoting Yu, Liang Chengcheng, Linsen Zan, Nicola M. Schreurs, Sameer D. Pant, Hongtao Lei	Based on the Cancer Genome Atlas Database Development of a prognostic model of RNA binding protein in stomach adenocarcinoma.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Yutong Ming, Hongzhi Liu, Yizhi Cui, Shaoyong Guo, Yijie Ding, Ruijun Liu	Identification of DNA-binding proteins by Kernel Sparse Representation via L2,1-matrix norm.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu 0001, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu	DNA protein binding recognition based on lifelong learning.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Arzu Mijit, Xiaona Wang, Yanlin Li, Hangwei Xu, Yingjun Chen, Weiwei Xue	Mapping synthetic binding proteins epitopes on diverse protein targets by protein structure prediction and protein-protein docking.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Xue Zhang, Jingcheng Wu, Joseph Baeza, Katie Gu, Yichun Zheng, Shuqing Chen, Zhan Zhou	DeepTAP: An RNN-based method of TAP-binding peptide prediction in the selection of tumor neoantigens.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Muhammad K. N. Mursalim, Tati Latifah Rajab Mengko, Rukman Hertadi, Ayu Purwarianti, Meredita Susanty	BiCaps-DBP: Predicting DNA-binding proteins from protein sequences using Bi-LSTM and a 1D-capsule network.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Kejie Fang, Yiming Zhang, Shiyu Du, Jian He	ColdDTA: Utilizing data augmentation and attention-based feature fusion for drug-target binding affinity prediction.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Chuqi Lei, Zhangli Lu, Meng Wang, Min Li 0007	StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Jiwei Pan, Yueying Gao, Huirui Han, Tao Pan, Jing Guo, Si Li, Juan Xu 0001, Yongsheng Li 0001	Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Md. Masud Rana 0008, Duc Duy Nguyen	Geometric graph learning with extended atom-types features for protein-ligand binding affinity prediction.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Lei Li, Zhigang Xue, Xiuquan Du	ASCRB: Multi-view based attentional feature selection for CircRNA-binding site prediction.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Maryam Jama, Marawan Ahmed, Anna Jutla, Carson Wiethan, Jitendra Kumar, Tae Chul Moon, Frederick West, Michael Overduin, Khaled H. Barakat	Discovery of allosteric SHP2 inhibitors through ensemble-based consensus molecular docking, endpoint and absolute binding free energy calculations.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Sneha Krishnamoorthy, Bharathi Muruganantham, Jae-Ran Yu, Woo-Yoon Park, Sridhar Muthusami	Exploring the utility of FTS as a bonafide binding partner for EGFR: A potential drug target for cervical cancer.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Rishab Panda, Pritam K. Panda, Janarthanan Krishnamoorthy, Rajiv K. Kar	Network analysis of chromophore binding site in LOV domain.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Priyanka Samanta, Robert J. Doerksen	Identifying FmlH lectin-binding small molecules for the prevention of Escherichia coli-induced urinary tract infections using hybrid fragment-based design and molecular docking.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
9	Li Zhang, Chun-Chun Wang, Yong Zhang, Xing Chen 0001	GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF