Modelling biological complexity: a physical scientist's perspective
about
Systems medicine: the future of medical genomics and healthcareTowards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson's, Huntington's, Alzheimer's, prions, bactericides, chemical toxicology and others as examplesTuneable resolution as a systems biology approach for multi-scale, multi-compartment computational modelsReverse engineering and identification in systems biology: strategies, perspectives and challengesPatient-specific simulation as a basis for clinical decision-makingAnimal models and conserved processesThe Cell Collective: toward an open and collaborative approach to systems biology.Multiscale models of angiogenesisIn pursuit of an accurate spatial and temporal model of biomolecules at the atomistic level: a perspective on computer simulation.Modeling biology spanning different scales: an open challenge.Towards a dynamical network view of brain ischemia and reperfusion. Part I: background and preliminaries.Rapid and accurate ranking of binding affinities of epidermal growth factor receptor sequences with selected lung cancer drugsMultimodality monitoring: informatics, integration data display and analysis.A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens-a Modeling Study of Drug Effects on Tumor Growth using Hybrid SystemsIn silico modeling for tumor growth visualizationThematic review series: systems biology approaches to metabolic and cardiovascular disorders. Proteomics approaches to the systems biology of cardiovascular diseases.Bioinformatics for study of autoimmunity.Toward a multiscale model of antigen presentation in immunity.Methods derived from nonlinear dynamics for analysing heart rate variability.Computational systems biology in cancer: modeling methods and applications.Computer-aided design and finite-element modelling of biomaterial scaffolds for bone tissue engineering.Plant systems biology: network matters.Fractal symmetry of protein interior: what have we learned?Multi-scale modeling in biology: how to bridge the gaps between scales?Theory, modelling and simulation in origins of life studies.Patient-specific modelling in drug design, development and selection including its role in clinical decision-making.Complexity and emergent phenomena.Enrichment map profiling of the cancer invasion front suggests regulation of colorectal cancer progression by the bone morphogenetic protein antagonist, gremlin-1.Strategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.The Virtual Physiological Human.
P2860
Q24288895-8627DE4A-2640-4D1D-8964-4929F460473EQ24289511-B44A8D56-C72E-4E7D-99C2-D40626CE365AQ26862919-1591F901-25A1-4016-8553-8BF31D705533Q27012931-1B0D6552-791A-4F77-ADE5-B957A33B8D92Q28284852-8FB72991-E7EC-46A1-83CE-6B889CC98164Q28710144-58283CC6-71F7-4E88-B93F-413DEB952778Q28727777-7382B781-CA70-466C-9D67-2B2132C7EBA4Q30432668-F4DA04E0-2815-463B-A1BD-90B54BF4470EQ30617965-97D6AD8C-1B8A-4D38-8298-64D55B53B5A3Q34014546-A792C7B5-EFBC-4570-AF05-18F5B5F4DE42Q34854026-7DABFDB9-126E-4C4A-8314-210D0E22B3CEQ35059352-6B8380C1-1AFB-440E-BD1F-264729E15F11Q35246499-93D86751-68A2-453E-8740-3D22D9FC7BC1Q35817902-BEBE27E8-7BCD-4507-867F-0DBE34E1AF0EQ36098162-5E7AFA88-1D9D-402F-81D2-5F22EB9D0DECQ36634821-0BF5F5BF-04CC-454D-A03B-B792361E7230Q36687906-1739D062-D7DB-47B7-A02C-A8F9D0C956D6Q36762526-7E9B39A1-85AA-46B3-BF6F-9D0C6BC6D3FDQ37314878-01274869-3F51-4420-BF08-58EEA6A7AE3AQ37380580-7E053DEE-B7C7-446F-8AC7-3C6B52A46C35Q37452247-05CC2638-5136-4A9A-83D6-A947AA30720CQ37839150-56532C9F-E60B-4FA3-A108-9848E3BD42A0Q37879964-3BF239D9-FD0C-4830-BE00-B204FE696A03Q37894287-E93A29A5-47B2-4E9E-9FBA-E991A978D36EQ38017057-BC13CB1A-93C7-4E43-B2D3-DB17C1D388C3Q38024134-15B7C7FB-0825-4DB4-9276-10A4F88ADE56Q38112061-E7066B65-6186-48B2-9339-F40952CF59FCQ38490347-1935D8C6-183E-45F4-8D63-DDB67D8B1244Q38586234-BD8820CF-6A21-4F94-BAD7-F13E98AE8EC9Q45798565-0C6F4AEE-BB85-4695-954F-937B0E207016
P2860
Modelling biological complexity: a physical scientist's perspective
description
2005 nî lūn-bûn
@nan
2005 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Modelling biological complexity: a physical scientist's perspective
@ast
Modelling biological complexity: a physical scientist's perspective
@en
Modelling biological complexity: a physical scientist's perspective
@en-gb
Modelling biological complexity: a physical scientist's perspective
@nl
type
label
Modelling biological complexity: a physical scientist's perspective
@ast
Modelling biological complexity: a physical scientist's perspective
@en
Modelling biological complexity: a physical scientist's perspective
@en-gb
Modelling biological complexity: a physical scientist's perspective
@nl
prefLabel
Modelling biological complexity: a physical scientist's perspective
@ast
Modelling biological complexity: a physical scientist's perspective
@en
Modelling biological complexity: a physical scientist's perspective
@en-gb
Modelling biological complexity: a physical scientist's perspective
@nl
P2860
P921
P3181
P356
P1476
Modelling biological complexity: a physical scientist's perspective
@en
P2093
Peter V Coveney
Philip W Fowler
P2860
P304
P3181
P356
10.1098/RSIF.2005.0045
P407
P577
2005-09-22T00:00:00Z