Search Results - "Newton, M A"

Secondary structure specific simpler prediction models for protein backbone angles by Newton, M A Hakim, Mataeimoghadam, Fereshteh, Zaman, Rianon, Sattar, Abdul

“…Protein backbone angle prediction has achieved significant accuracy improvement with the development of deep learning methods. Usually the same deep learning…”
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Enhancing protein backbone angle prediction by using simpler models of deep neural networks by Mataeimoghadam, Fereshteh, Newton, M. A. Hakim, Dehzangi, Abdollah, Karim, Abdul, Jayaram, B., Ranganathan, Shoba, Sattar, Abdul

“…Protein structure prediction is a grand challenge. Prediction of protein structures via the representations using backbone dihedral angles has recently…”
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Enhancing protein inter-residue real distance prediction by scrutinising deep learning models by Rahman, Julia, Newton, M. A. Hakim, Islam, Md Khaled Ben, Sattar, Abdul

“…Protein structure prediction (PSP) has achieved significant progress lately via prediction of inter-residue distances using deep learning models and…”
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A scatter search algorithm for time-dependent prize-collecting arc routing problems by Riahi, Vahid, Hakim Newton, M.A., Sattar, Abdul

“…•Studying the prize-collecting arc routing problems (PARPs) with real-time scenarios.•Proposing constructive heuristics and metaheuristic algorithm to solve…”
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Constraint Guided Neighbor Generation for Protein Structure Prediction by Zaman, Rianon, Newton, M. A. Hakim, Mataeimoghadam, Fereshteh, Sattar, Abdul

“…Protein structure prediction (PSP) is essential for drug discovery. PSP involves minimising an unknown scoring function over an astronomical search space. PSP…”
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Scatter search for mixed blocking flowshop scheduling by Riahi, Vahid, Khorramizadeh, Mostafa, Hakim Newton, M.A., Sattar, Abdul

“…•A scatter search algorithm for mixed blocking permutation flowshop scheduling.•A new and effective NEH-based heuristic is used in initial solution…”
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Author Correction: Enhancing protein backbone angle prediction by using simpler models of deep neural networks by Mataeimoghadam, Fereshteh, Newton, M. A. Hakim, Dehzangi, Abdollah, Karim, Abdul, Jayaram, B., Ranganathan, Shoba, Sattar, Abdul

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Ensembling methods for protein-ligand binding affinity prediction by Mohamed Abdul Cader, Jiffriya, Newton, M. A. Hakim, Rahman, Julia, Mohamed Abdul Cader, Akmal Jahan, Sattar, Abdul

“…Protein-ligand binding affinity prediction is a key element of computer-aided drug discovery. Most of the existing deep learning methods for protein-ligand…”
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On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles by Kendziorski, C. M., Newton, M. A., Lan, H., Gould, M. N.

“…DNA microarrays provide for unprecedented large‐scale views of gene expression and, as a result, have emerged as a fundamental measurement tool in the study of…”
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Evaluating logic gate constraints in local search for structured satisfiability problems by Newton, M. A. H., Polash, M. M. A., Pham, D. N., Thornton, J., Su, K., Sattar, A.

“…Conjunctive normal forms (CNF) of structured satisfiability problems contain logic gate patterns. So Boolean circuits (BC) by and large can be obtained from…”
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Makespan preserving flowshop reengineering via blocking constraints by Hakim Newton, M.A., Riahi, Vahid, Sattar, Abdul

“…•Studying mixed blocking flowshop scheduling problems (MBPFSP).•Makespan and feasibility preserving flowshop reengineering.•Conjoing successive machines to…”
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Distance plus attention for binding affinity prediction by Rahman, Julia, Newton, M. A. Hakim, Ali, Mohammed Eunus, Sattar, Abdul

“…Protein-ligand binding affinity plays a pivotal role in drug development, particularly in identifying potential ligands for target disease-related proteins…”
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Quantitative Toxicity Prediction via Meta Ensembling of Multitask Deep Learning Models by Karim, Abdul, Riahi, Vahid, Mishra, Avinash, Newton, M. A. Hakim, Dehzangi, Abdollah, Balle, Thomas, Sattar, Abdul

“…Toxicity prediction using quantitative structure–activity relationship has achieved significant progress in recent years. However, most existing machine…”
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Multi-S3P: Protein Secondary Structure Prediction with Specialized Multi-Network and Self-Attention-based Deep Learning Model by Mohamed Mufassirin, M.M., Hakim Newton, M A, Rahman, Julia, Sattar, Abdul

“…Protein structure prediction (PSP) is a vital challenge in bioinformatics, structural biology and drug discovery. Protein secondary structure (SS) prediction…”
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Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice by Rashid, Mahmood A, Newton, M A Hakim, Hoque, Md Tamjidul, Shatabda, Swakkhar, Pham, Duc Nghia, Sattar, Abdul

“…Protein structure prediction is an important but unsolved problem in biological science. Predicted structures vary much with energy functions and…”
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The road not taken: retreat and diverge in local search for simplified protein structure prediction by Shatabda, Swakkhar, Newton, M A Hakim, Rashid, Mahmood A, Pham, Duc Nghia, Sattar, Abdul

“…Given a protein's amino acid sequence, the protein structure prediction problem is to find a three dimensional structure that has the native energy level. For…”
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A structural and surface approach to size and shape control of sulfur-modified undoped and Fe-doped TiO2 anatase nano-materials by Christoforidis, K C, Iglesias-Juez, A, Figueroa, S J A, Newton, M A, Di Michiel, M, Fernández-García, M

“…In situ synchrotron X-ray diffraction and diffuse reflectance infrared spectroscopy (DRIFTS) are combined to study the influence of sulfur on the…”
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Cluster-oriented instance selection for classification problems by Saha, Soumitra, Sarker, Partho Sarathi, Saud, Alam Al, Shatabda, Swakkhar, Hakim Newton, M.A.

“…More training instances could lead to better classification accuracy. However, accuracy could also degrade if more training instances mean further noises and…”
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On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data by Newton, M A, Kendziorski, C M, Richmond, C S, Blattner, F R, Tsui, K W

“…We consider the problem of inferring fold changes in gene expression from cDNA microarray data. Standard procedures focus on the ratio of measured fluorescent…”
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An Update on the Status of the NIF Power-Conditioning System by Arnold, P.A., Hulsey, S.D., Ullery, G.T., Petersen, D.E., Pendleton, D.L., Ollis, C.W., Newton, M.A., Harwell, T.B., Hadovski, L.M.

“…The National Ignition Facility (NIF) power-conditioning system provides the pulsed excitation required to drive flashlamps in the laser's optical amplifiers…”
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